Triple
T10551839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wooster/ATI campus |
E248969
|
entity |
| Predicate | city |
P40
|
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: [Wooster/ATI campus, city, Wooster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wooster Context triple: [Wooster/ATI campus, city, 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.
Mitford
Mitford is an English surname most famously associated with the Mitford sisters, a prominent 20th-century aristocratic family known for their varied and often controversial political and literary lives.
-
D.
Mulliner
Mulliner is Bentley’s bespoke coachbuilding and personalization division, renowned for crafting highly customized, ultra-luxury versions of the brand’s vehicles.
-
E.
Grantchester Meadows
Grantchester Meadows is a picturesque riverside area near Cambridge, England, known for its tranquil pastoral scenery and association with literary and musical works.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d5820c8190a1ad6d6551d093bb |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.