Triple

T2317868
Position Surface form Disambiguated ID Type / Status
Subject Central London E51106 entity
Predicate contains P35 FINISHED
Object Green Park E57133 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: Green Park | Statement: [Central London, contains, Green Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Park
Context triple: [Central London, contains, Green Park]
  • A. Green Park chosen
    Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
  • B. Grosvenor Park
    Grosvenor Park is a large Victorian-era public park in Chester, England, known for its formal gardens, riverside setting, and historic features.
  • C. Holland Park
    Holland Park is a leafy, affluent district and public park in west London known for its elegant townhouses, landscaped gardens, and cultural attractions.
  • D. Greenhead Park
    Greenhead Park is a large Victorian-era public park in Huddersfield, West Yorkshire, known for its ornamental gardens, boating lake, and recreational facilities.
  • E. West Park
    West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62fa60c8190b4859ce296ea4177 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b6475948190816531b026c7930c completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:49 p.m.