Triple

T9223803
Position Surface form Disambiguated ID Type / Status
Subject Sooke E221627 entity
Predicate locatedNear P294 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: [Sooke, locatedNear, Langford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langford
Context triple: [Sooke, locatedNear, Langford]
  • A. Langford chosen
    Langford is a rapidly growing suburban city on southern Vancouver Island in British Columbia, Canada, located just west of Victoria.
  • B. Langford
    Langford is a small rural village in North Somerset, England, known for its countryside setting and proximity to Wrington.
  • C. Langford
    Langford is a village in Bedfordshire, England, known for its rural character and location along the River Ivel.
  • D. 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.
  • E. Langford Village
    Langford Village is a modern residential suburb of the town of Bicester in Oxfordshire, England.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda7903208190b4e29a1591aab78a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0664565748190a45cf382fca72cbe completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.