Triple

T15390398
Position Surface form Disambiguated ID Type / Status
Subject Goring House (on or near the site) E368028 entity
Predicate locatedNear P294 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: [Goring House (on or near the site), locatedNear, Green Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Park
Context triple: [Goring House (on or near the site), locatedNear, 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. Green Park
    Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
  • C. Green Park
    Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
  • D. Wickham Park
    Wickham Park is a large public park in the Manchester area of Connecticut known for its landscaped gardens, walking trails, and scenic views.
  • E. Grosvenor Park
    Grosvenor Park is a large Victorian-era public park in Chester, England, known for its formal gardens, riverside setting, and historic features.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.