Triple

T8849136
Position Surface form Disambiguated ID Type / Status
Subject A205 road E210587 entity
Predicate passesThrough P225 FINISHED
Object Balham E330033 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: Balham | Statement: [A205 road, passesThrough, Balham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balham
Context triple: [A205 road, passesThrough, Balham]
  • A. Balham chosen
    Balham is a residential district in south London, England, known for its vibrant high street, diverse community, and convenient transport links into central London.
  • B. Surbiton
    Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential character.
  • C. 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."
  • D. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • E. Hendon
    Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d58af368788190a4b020cc46cc30d5 completed April 7, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:49 p.m.