Triple

T5173079
Position Surface form Disambiguated ID Type / Status
Subject River Brent E116730 entity
Predicate flowsThrough P225 FINISHED
Object Hendon E632143 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 | Statement: [River Brent, flowsThrough, Hendon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendon
Context triple: [River Brent, flowsThrough, Hendon]
  • A. Hendon
    Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
  • B. Hendon chosen
    Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
  • C. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • D. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • E. Balham
    Balham is a residential district in south London, England, known for its vibrant high street, diverse community, and convenient transport links into central 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd796f7c308190a721e33aabd499ac completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
Created at: March 20, 2026, 1:45 p.m.