Triple

T8920243
Position Surface form Disambiguated ID Type / Status
Subject Carterton E212394 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Witney E10799 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: Witney | Statement: [Carterton, parliamentaryConstituency, Witney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witney
Context triple: [Carterton, parliamentaryConstituency, Witney]
  • A. Witney chosen
    Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
  • B. Witney
    Witney is a historic market town in Oxfordshire, England, known for its traditional blanket-making industry and position on the River Windrush.
  • C. Whitney
    Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
  • D. Whitney
    Whitney is an unincorporated community and census-designated place in the Las Vegas Valley of Clark County, Nevada.
  • E. Whitney
    Whitney is the middle name of George Whitney Calhoun, a co-founder of the Green Bay Packers.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc664f099c8190be6d20a4574212ca completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.