Triple
T4747073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Wooster |
E105384
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Wooster |
E466587
|
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: Wooster | Statement: [College of Wooster, abbreviation, Wooster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wooster Context triple: [College of Wooster, abbreviation, Wooster]
-
A.
Wooster
chosen
Wooster is a small city in northeastern Ohio known for hosting the College of Wooster and serving as the seat of Wayne County.
-
B.
Marple
Marple is a suburban town in the Metropolitan Borough of Stockport, Greater Manchester, England, known for its canals, locks, and proximity to the Peak District.
-
C.
Broadstairs
Broadstairs is a seaside town on the Isle of Thanet in Kent, England, known for its sandy beaches and connections to the writer Charles Dickens.
-
D.
Hotton
Hotton is a small Belgian town in the Ardennes region, known for its scenic riverside setting, caves, and outdoor recreation along the Ourthe River.
-
E.
Bunbury
Bunbury is a coastal city in Western Australia known as a regional port and commercial hub south of Perth.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b24440819081f3932eb6b68b48 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.