Triple
T18214909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Center for the Arts |
E436126
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Wooster |
—
|
NE NERFINISHED |
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: [Wayne Center for the Arts, city, Wooster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wooster Context triple: [Wayne Center for the Arts, 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.
Milverton
Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
-
C.
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.
-
D.
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.
-
E.
Garsington
Garsington is a village in Oxfordshire, England, known for its historic manor house and rural setting near the city of Oxford.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e476a6548190bda03190c5f531ad |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.