Triple

T7861569
Position Surface form Disambiguated ID Type / Status
Subject Denmark Hill railway station E182511 entity
Predicate locatedIn P40 FINISHED
Object Denmark Hill E169926 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: Denmark Hill | Statement: [Denmark Hill railway station, locatedIn, Denmark Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denmark Hill
Context triple: [Denmark Hill railway station, locatedIn, Denmark Hill]
  • A. Denmark Hill chosen
    Denmark Hill is a district in southeast London, England, known for its residential character, green spaces, and proximity to major hospitals and educational institutions.
  • B. Muswell Hill
    Muswell Hill is a leafy, affluent suburban district in North London known for its Edwardian architecture, village-like high street, and panoramic views over the city.
  • C. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • D. Islington Green
    Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
  • E. Quarry Hill
    Quarry Hill is an area in central Leeds, England, known for its cultural institutions and urban redevelopment.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36bcb5cc8190a8a384ce0f020b9f completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf587efc819099e24ab2fad6d4be completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:53 p.m.