Triple

T1643513
Position Surface form Disambiguated ID Type / Status
Subject Clarence House E35524 entity
Predicate near P350 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: [Clarence House, near, Green Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Park
Context triple: [Clarence House, near, 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. Wandsworth Park
    Wandsworth Park is a riverside public park in southwest London known for its open green spaces, tree-lined paths, and views along the River Thames.
  • E. Primrose Hill Park
    Primrose Hill Park is a popular green space in north London known for its grassy hilltop offering panoramic views of the city skyline.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada96dc52c8190be0ace80c5eb4cf3 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:28 p.m.