Triple

T3584539
Position Surface form Disambiguated ID Type / Status
Subject Richmond, Surrey, England E75879 entity
Predicate hasPark P105 FINISHED
Object Richmond Green E249121 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: Richmond Green | Statement: [Richmond, Surrey, England, hasPark, Richmond Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond Green
Context triple: [Richmond, Surrey, England, hasPark, Richmond Green]
  • A. Richmond Green chosen
    Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
  • B. Hough Green
    Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
  • C. Peartree Green
    Peartree Green is a historic open space and local nature area in the Woolston district of Southampton, known for its greenery and community recreation.
  • D. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • E. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc10f9b508190bde4a4e4711dd452 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882803e481908bc716c8beda3c73 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:21 p.m.