Triple

T10537790
Position Surface form Disambiguated ID Type / Status
Subject Courbevoie E248615 entity
Predicate hasTwinTown P919 FINISHED
Object Enfield E123079 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: Enfield | Statement: [Courbevoie, hasTwinTown, Enfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enfield
Context triple: [Courbevoie, hasTwinTown, Enfield]
  • A. Enfield
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • B. Enfield chosen
    Enfield is a historic town in north London that developed from a Middlesex market settlement into a major suburban and commercial center.
  • C. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • D. Woolwich
    Woolwich is a largely rural township in Ontario, Canada, known for its farming communities, Mennonite heritage, and small towns such as Elmira and St. Jacobs.
  • E. Stanmore
    Stanmore is a suburban district in the London Borough of Harrow, England, known for its residential character and historical connections, including former Royal Air Force sites.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
Created at: April 6, 2026, 12:31 p.m.