Triple

T873058
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Winchester E18856 entity
Predicate locatedIn P40 FINISHED
Object Bournemouth E38127 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: Bournemouth | Statement: [Diocese of Winchester, locatedIn, Bournemouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bournemouth
Context triple: [Diocese of Winchester, locatedIn, Bournemouth]
  • A. Bournemouth chosen
    Bournemouth is a large coastal resort town on England’s south coast, known for its sandy beaches, tourism, and role as a regional commercial and transport hub.
  • B. Bristol
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • C. Brighton
    Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
  • D. Brighton
    Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
  • E. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82f25c088190ae32593e6edbb8d0 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:39 p.m.