Triple
T2523863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Knights |
E55588
|
entity |
| Predicate | formerHomeBallparkLocation |
P39649
|
FINISHED |
| Object |
Fort Mill, South Carolina
Fort Mill, South Carolina is a rapidly growing suburban town in York County just south of Charlotte, known for its proximity to the North Carolina border and family-friendly communities.
|
E279004
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fort Mill, South Carolina | Statement: [Charlotte Knights, formerHomeBallparkLocation, Fort Mill, South Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Mill, South Carolina Context triple: [Charlotte Knights, formerHomeBallparkLocation, Fort Mill, South Carolina]
-
A.
Spartanburg, South Carolina
Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
-
B.
Mauldin, South Carolina
Mauldin, South Carolina is a suburban city in Greenville County known for its residential communities, schools, and proximity to the Greenville metropolitan area.
-
C.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
-
D.
Hopewell, South Carolina
Hopewell, South Carolina is a historic plantation site in the state’s Upcountry region, best known as the home of Revolutionary War general and statesman Andrew Pickens.
-
E.
Rock Hill
Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fort Mill, South Carolina Triple: [Charlotte Knights, formerHomeBallparkLocation, Fort Mill, South Carolina]
Generated description
Fort Mill, South Carolina is a rapidly growing suburban town in York County just south of Charlotte, known for its proximity to the North Carolina border and family-friendly communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fort Mill, South Carolina Target entity description: Fort Mill, South Carolina is a rapidly growing suburban town in York County just south of Charlotte, known for its proximity to the North Carolina border and family-friendly communities.
-
A.
Spartanburg, South Carolina
Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
-
B.
Mauldin, South Carolina
Mauldin, South Carolina is a suburban city in Greenville County known for its residential communities, schools, and proximity to the Greenville metropolitan area.
-
C.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
-
D.
Hopewell, South Carolina
Hopewell, South Carolina is a historic plantation site in the state’s Upcountry region, best known as the home of Revolutionary War general and statesman Andrew Pickens.
-
E.
Rock Hill
Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHomeBallparkLocation Context triple: [Charlotte Knights, formerHomeBallparkLocation, Fort Mill, South Carolina]
-
A.
formerBallpark
Indicates that a location previously served as a ballpark but no longer functions in that role.
-
B.
ballparkFormerName
Indicates that one name was previously used as the official name of a particular ballpark before it was changed.
-
C.
formerHomeStadium
Indicates that a venue previously served as the home stadium for a team or organization but no longer holds that status.
-
D.
formerHomeArena
Indicates that a venue previously served as the primary home arena for a team or organization but no longer holds that status.
-
E.
teamHomeBallpark
Indicates that a team’s designated home ballpark is the specified ballpark.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6550c55481908fe4e8bab17aaa6d |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af66d6bad08190ab3f7b0949ae6fea |
completed | March 10, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af67265b2c81909665c2c5acc0d776 |
completed | March 10, 2026, 12:34 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1487e0c8190b90dcf30586ad4cd |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:46 p.m.