Triple
T12293303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark County, Indiana |
E293019
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Borden, Indiana
Borden, Indiana is a small town in southern Indiana known for its rural character and location within the Louisville metropolitan area.
|
E1052025
|
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: Borden, Indiana | Statement: [Clark County, Indiana, hasTown, Borden, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borden, Indiana Context triple: [Clark County, Indiana, hasTown, Borden, Indiana]
-
A.
Bloomfield, Indiana
Bloomfield, Indiana is a small town in southwestern Indiana that serves as the administrative and commercial hub of Greene County.
-
B.
Newberry, Indiana
Newberry, Indiana is a small town located in southwestern Indiana that is part of the Bloomington metropolitan area.
-
C.
Bandon, Indiana
Bandon, Indiana is an unincorporated rural community located in Perry County in the southern part of the U.S. state of Indiana.
-
D.
Walkerton, Indiana
Walkerton, Indiana is a small town in northern Indiana known for its rural character and proximity to the South Bend metropolitan area.
-
E.
Kouts, Indiana
Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
- 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: Borden, Indiana Triple: [Clark County, Indiana, hasTown, Borden, Indiana]
Generated description
Borden, Indiana is a small town in southern Indiana known for its rural character and location within the Louisville metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borden, Indiana Target entity description: Borden, Indiana is a small town in southern Indiana known for its rural character and location within the Louisville metropolitan area.
-
A.
Bloomfield, Indiana
Bloomfield, Indiana is a small town in southwestern Indiana that serves as the administrative and commercial hub of Greene County.
-
B.
Newberry, Indiana
Newberry, Indiana is a small town located in southwestern Indiana that is part of the Bloomington metropolitan area.
-
C.
Bandon, Indiana
Bandon, Indiana is an unincorporated rural community located in Perry County in the southern part of the U.S. state of Indiana.
-
D.
Walkerton, Indiana
Walkerton, Indiana is a small town in northern Indiana known for its rural character and proximity to the South Bend metropolitan area.
-
E.
Kouts, Indiana
Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ac6efe88190b48d2868443ed412 |
completed | May 3, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69f78b5eba1c8190b3e75d4c30132d84 |
completed | May 3, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c31c0a48190aaa9474fc043e725 |
completed | May 3, 2026, 5:56 p.m. |
Created at: April 8, 2026, 9:52 p.m.