Triple

T9163677
Position Surface form Disambiguated ID Type / Status
Subject Dulwich and West Norwood E219891 entity
Predicate coversArea P175 FINISHED
Object Gipsy Hill E362439 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: Gipsy Hill | Statement: [Dulwich and West Norwood, coversArea, Gipsy Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gipsy Hill
Context triple: [Dulwich and West Norwood, coversArea, Gipsy Hill]
  • A. Gipsy Hill chosen
    Gipsy Hill is a residential district in south London known for its hilly streets, Victorian housing, and views across the city.
  • B. Quarry Hill
    Quarry Hill is an area in central Leeds, England, known for its cultural institutions and urban redevelopment.
  • C. Galley Hill
    Galley Hill is a coastal promontory and historic viewpoint in Bexhill-on-Sea, East Sussex, known for its sea views and local walking paths.
  • D. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • E. Highgate
    Highgate is a small rural town in the parish of St. Mary on Jamaica’s northeastern side, known for its agricultural surroundings and local market community.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2d6628819084ac4734650fe912 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c04533c81909d92ad5fff9bbadf completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:21 p.m.