Triple

T9969251
Position Surface form Disambiguated ID Type / Status
Subject Rafi Gavron E195760 entity
Predicate placeOfBirth P1 FINISHED
Object Hendon, London, England E86868 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: Hendon, London, England | Statement: [Rafi Gavron, placeOfBirth, Hendon, London, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendon, London, England
Context triple: [Rafi Gavron, placeOfBirth, Hendon, London, England]
  • A. Hendon, London, England chosen
    Hendon, London, England is a suburban district in the London Borough of Barnet known for its aviation history and former airfield.
  • B. Dagenham, London, England
    Dagenham, London, England is a suburban area in East London historically known for its large Ford car plant and extensive post-war housing estates.
  • C. Hillingdon, London, England
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • D. Barnet, London, England
    Barnet is a suburban borough in north London, England, known for its residential character, green spaces, and role as a commuter area for the capital.
  • E. Hornsey, London, England
    Hornsey is a district in north London, England, historically notable as the original base of the British sports car manufacturer Lotus Cars.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.