Triple

T7026533
Position Surface form Disambiguated ID Type / Status
Subject Pacific FC E162960 entity
Predicate city P40 FINISHED
Object Langford E198035 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: Langford | Statement: [Pacific FC, city, Langford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langford
Context triple: [Pacific FC, city, Langford]
  • A. Langford
    Langford is a small rural village in North Somerset, England, known for its countryside setting and proximity to Wrington.
  • B. Langford
    Langford is a small rural village in the Cotswolds area of Oxfordshire, England, known for its historic stone buildings and traditional English countryside setting.
  • C. Langford chosen
    Langford is a rapidly growing suburban city on southern Vancouver Island in British Columbia, Canada, located just west of Victoria.
  • D. Langford Village
    Langford Village is a modern residential suburb of the town of Bicester in Oxfordshire, England.
  • E. Lackford
    Lackford is a small rural village and civil parish in the English county of Suffolk, known for its surrounding countryside and nearby nature reserve.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77588285481909799a2bb76921b9a completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.