Triple
T10304345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asbury Theological Seminary |
E241712
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Wilmore
Wilmore is a small city in central Kentucky known for its strong Christian academic community and as the home of Asbury University and Asbury Theological Seminary.
|
E857248
|
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: Wilmore | Statement: [Asbury Theological Seminary, city, Wilmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmore Context triple: [Asbury Theological Seminary, city, Wilmore]
-
A.
Wilmore
Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
-
B.
Mauldin
Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
-
C.
Mauldin
Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
-
D.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
-
E.
Shelbyville
Shelbyville is a small city in central Indiana that functions as a local commercial and residential hub within the greater Indianapolis 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: Wilmore Triple: [Asbury Theological Seminary, city, Wilmore]
Generated description
Wilmore is a small city in central Kentucky known for its strong Christian academic community and as the home of Asbury University and Asbury Theological Seminary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilmore Target entity description: Wilmore is a small city in central Kentucky known for its strong Christian academic community and as the home of Asbury University and Asbury Theological Seminary.
-
A.
Wilmore
Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
-
B.
Mauldin
Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
-
C.
Mauldin
Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
-
D.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
-
E.
Shelbyville
Shelbyville is a small city in central Indiana that functions as a local commercial and residential hub within the greater Indianapolis 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7501f76e081908a7509a877c72b82 |
completed | April 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69d751fce6ac81909c9a669bf4827cb3 |
completed | April 9, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: April 6, 2026, 11:45 a.m.