Triple

T16858789
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Park E409854 entity
Predicate near P350 FINISHED
Object Hornsey NE NERFINISHED

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: Hornsey | Statement: [Alexandra Park, near, Hornsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hornsey
Context triple: [Alexandra Park, near, Hornsey]
  • A. Hornsey chosen
    Hornsey is a district in the London Borough of Haringey, England, known historically as a suburban area that developed rapidly in the 19th and 20th centuries.
  • B. Gants Hill
    Gants Hill is a suburban district in northeast London known for its busy road junction, Underground station on the Central line, and mix of residential and commercial areas.
  • C. Edgware
    Edgware is a suburban district in north London known for its residential character, shopping facilities, and role as a transport hub on the London Underground.
  • D. Shepherd’s Bush
    Shepherd’s Bush is a vibrant district in West London known for its major shopping center Westfield London, diverse community, and busy transport hub around Shepherd’s Bush Green.
  • E. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:24 a.m.