Triple

T4406704
Position Surface form Disambiguated ID Type / Status
Subject St Marylebone Cemetery E93749 entity
Predicate locatedIn P40 FINISHED
Object Finchley E270752 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: Finchley | Statement: [St Marylebone Cemetery, locatedIn, Finchley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finchley
Context triple: [St Marylebone Cemetery, locatedIn, Finchley]
  • A. Finchley chosen
    Finchley is a suburban district in the London Borough of Barnet, known for its residential character and community institutions in north London.
  • B. 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.
  • C. Gospel Oak
    Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
  • 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. Golders Green
    Golders Green is a suburban district in the London Borough of Barnet known for its diverse community, significant Jewish population, and busy high street with shops and restaurants.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548b1ca08190b3136867c7098d86 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f6773fc819098caa05f0b07235d completed March 20, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:28 p.m.