Triple

T16322787
Position Surface form Disambiguated ID Type / Status
Subject Kissing Coppers E396339 entity
Predicate locationOfFirstAppearance P93084 FINISHED
Object Brighton, England E883795 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: Brighton, England | Statement: [Kissing Coppers, locationOfFirstAppearance, Brighton, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brighton, England
Context triple: [Kissing Coppers, locationOfFirstAppearance, Brighton, England]
  • A. Brighton, England chosen
    Brighton, England is a famous seaside resort city on the south coast of England, known for its pebble beach, iconic pier, and vibrant cultural scene.
  • B. Brighton
    Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
  • C. 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.
  • D. Brighton
    Brighton is a residential neighborhood in Seattle’s Rainier Valley known for its diversity and proximity to parks and schools.
  • E. Brighton
    Brighton is a small municipality in southeastern Ontario, Canada, known for its rural charm, proximity to Lake Ontario, and nearby Presqu’ile Provincial Park.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b82fe88190a448597b7827f859 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00457324948190b803b715cea8b86d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:06 a.m.