Triple

T22290047
Position Surface form Disambiguated ID Type / Status
Subject Witney farmers’ market E550969 entity
Predicate location P40 FINISHED
Object Witney 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: Witney | Statement: [Witney farmers’ market, location, Witney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witney
Context triple: [Witney farmers’ market, location, Witney]
  • A. Witney chosen
    Witney is a historic market town in Oxfordshire, England, known for its traditional blanket-making industry and position on the River Windrush.
  • B. Witney
    Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
  • C. Whitney
    "Whitney" is an American sitcom starring comedian Whitney Cummings that aired on NBC in the early 2010s.
  • D. Whitney
    Whitney is a future Atlantic tropical cyclone name designated to replace the retired name Wilma on the World Meteorological Organization’s rotating storm name list.
  • E. Whitney
    Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560adde88190961d8fc24c1c4b3c completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.