Triple

T19958382
Position Surface form Disambiguated ID Type / Status
Subject Force Headquarters, Camden, London E479745 entity
Predicate locatedIn P40 FINISHED
Object Camden 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: Camden | Statement: [Force Headquarters, Camden, London, locatedIn, Camden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden
Context triple: [Force Headquarters, Camden, London, locatedIn, Camden]
  • A. Camden
    Camden is a historic town in the Macarthur region of New South Wales, Australia, known for its semi-rural character and colonial heritage on Sydney’s southwestern fringe.
  • B. Camden chosen
    Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • C. Camden
    Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
  • D. Camden
    Camden is a small city located in Ray County, Missouri, in the central United States.
  • E. Camden
    Camden is a small unincorporated community in Madison County, Mississippi, known for its rural character and historic Southern setting.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af2c3548190a44f972a1bd33256 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.