Triple

T13995104
Position Surface form Disambiguated ID Type / Status
Subject Frankie Bridge E336674 entity
Predicate placeOfBirth P1 FINISHED
Object Upminster E295251 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: Upminster | Statement: [Frankie Bridge, placeOfBirth, Upminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upminster
Context triple: [Frankie Bridge, placeOfBirth, Upminster]
  • A. Upminster chosen
    Upminster is a suburban town in East London that serves as a key transport hub and residential area on the eastern edge of Greater London.
  • B. Mill Hill
    Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • E. Woodford Green
    Woodford Green is a suburban area in the London Borough of Redbridge known for its large open green spaces and residential character on the northeastern edge of Greater London.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb53f508190855cd69b8061dd77 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32789e08190be0f1d1685dcc90e completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.