Triple
T2242207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Massachusetts |
E49421
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Holden
Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
|
E247813
|
NE FINISHED |
How this triple was built (4 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: Holden | Statement: [Central Massachusetts, containsTown, Holden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holden Context triple: [Central Massachusetts, containsTown, Holden]
-
A.
Holden
Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
-
B.
Holden
Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
-
C.
Doc Hudson
Doc Hudson is a wise, retired race car and town doctor in Pixar's "Cars" who mentors the protagonist Lightning McQueen.
-
D.
Dana Brown
Dana Brown is a Major League Baseball executive best known as the general manager of the Houston Astros, overseeing the club’s player personnel and roster decisions.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- 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: Holden Triple: [Central Massachusetts, containsTown, Holden]
Generated description
Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holden Target entity description: Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
-
A.
Holden
Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
-
B.
Holden
Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
-
C.
Doc Hudson
Doc Hudson is a wise, retired race car and town doctor in Pixar's "Cars" who mentors the protagonist Lightning McQueen.
-
D.
Dana Brown
Dana Brown is a Major League Baseball executive best known as the general manager of the Houston Astros, overseeing the club’s player personnel and roster decisions.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- F. None of above. chosen
Provenance (5 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c017548190a71fb4a0e2a8189f |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0eef98819083bede32490cba7e |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbccdb08190a73fd20a110219d9 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c3d07a08190a6221a33fd02f73e |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.