Triple

T1807655
Position Surface form Disambiguated ID Type / Status
Subject Badminton School E40256 entity
Predicate city P40 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: [Badminton School, city, Bristol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bristol
Context triple: [Badminton School, city, 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. Bath
    Bath is a historic city in Somerset, England, renowned for its Roman-built baths and Georgian architecture.
  • C. Bath
    Bath is a small town located in the parish of St. Thomas in the East in eastern Jamaica, known historically for its mineral springs and colonial-era significance.
  • D. Brighton
    Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
  • E. Brighton
    Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6599f35c8190aefd20773365fdcf completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055827da881909a589a8d5c577eb9 completed March 10, 2026, 5:31 p.m.
Created at: March 4, 2026, 7:32 p.m.