Triple
T6562308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeomen and Yeowomen |
E153812
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Oberlin, Ohio |
E153807
|
NE FINISHED |
How this triple was built (2 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: Oberlin, Ohio | Statement: [Yeomen and Yeowomen, associatedWith, Oberlin, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberlin, Ohio Context triple: [Yeomen and Yeowomen, associatedWith, Oberlin, Ohio]
-
A.
Oberlin, Ohio
chosen
Oberlin, Ohio is a small city in northern Ohio best known as the home of Oberlin College and Conservatory, a historically progressive liberal arts institution.
-
B.
Oxford, Ohio
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
-
C.
Oberlin College
Oberlin College is a private liberal arts college and conservatory of music in Oberlin, Ohio, known for its progressive history and strong emphasis on undergraduate education and the arts.
-
D.
Cambridge, Ohio
Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
-
E.
Elyria, Ohio
Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae38e94081908f964d130f9147d8 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7127fc0a081909589c2a05e457866 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 27, 2026, 1:52 p.m.