Triple

T17039716
Position Surface form Disambiguated ID Type / Status
Subject College of Wooster E413412 entity
Predicate nickname P55 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, nickname, Wooster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wooster
Context triple: [College of Wooster, nickname, 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 (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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f5844c819097eade4a2b42ab91 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5ceb048190a7f6cf2361360f90 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.