Triple

T11873235
Position Surface form Disambiguated ID Type / Status
Subject Defence Equipment and Support E282456 entity
Predicate headquartersLocation P62 FINISHED
Object Bristol E16444 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: Bristol | Statement: [Defence Equipment and Support, headquartersLocation, Bristol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bristol
Context triple: [Defence Equipment and Support, headquartersLocation, Bristol]
  • A. Bristol chosen
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • B. Bristol
    Bristol is a historic coastal town in Rhode Island known for its maritime heritage and one of the oldest continuous Fourth of July celebrations in the United States.
  • C. Bristol
    Bristol is a small community within the town of East Gwillimbury in Ontario, Canada.
  • D. Bristol
    Bristol is a small unincorporated rural community located in southeastern Colorado, United States.
  • E. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be18b7d48190b7fb1c3a67a891ed completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f8a57ec8190aded70ae89aa8cf7 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:43 p.m.