Triple

T4281813
Position Surface form Disambiguated ID Type / Status
Subject Richmond E97167 entity
Predicate hasLandmark 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, hasLandmark, Richmond Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond Green
Context triple: [Richmond, hasLandmark, 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. Brook Green
    Brook Green is a public park and residential area in the Hammersmith district of West London, known for its tree-lined green space and surrounding Victorian and Edwardian housing.
  • C. Palmers Green
    Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
  • D. Langley Green
    Langley Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
  • E. 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.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503938f481909505e0a322dd2b6c completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b650abb8ec8190afb55dc0091f8415 completed March 15, 2026, 6:24 a.m.
Created at: March 12, 2026, 11:07 p.m.