Triple

T2115091
Position Surface form Disambiguated ID Type / Status
Subject Kington E42591 entity
Predicate hasPostTown P2711 FINISHED
Object KINGTON E42591 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: KINGTON | Statement: [Kington, hasPostTown, KINGTON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KINGTON
Context triple: [Kington, hasPostTown, KINGTON]
  • A. Kington chosen
    Kington is a small historic market town in Herefordshire, England, near the Welsh border, known for its scenic countryside and walking trails.
  • B. Kingham
    Kingham is a picturesque rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
  • C. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • D. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • E. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0724e08190a0a4210d86261d6d completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5194abec8190aab8b7a9ef98da92 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.