Triple

T3584512
Position Surface form Disambiguated ID Type / Status
Subject Richmond, Surrey, England E75879 entity
Predicate hasLandmark P105 FINISHED
Object Richmond Hill E249122 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 Hill | Statement: [Richmond, Surrey, England, hasLandmark, Richmond Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond Hill
Context triple: [Richmond, Surrey, England, hasLandmark, Richmond Hill]
  • A. Richmond Hill chosen
    Richmond Hill is a picturesque area in southwest London known for its famous panoramic views over the River Thames and surrounding landscape.
  • B. Richmond Hill
    Richmond Hill is a residential neighborhood in the borough of Queens, New York City, known for its diverse population and mix of historic homes and commercial corridors.
  • C. Thornhill
    Thornhill is a suburban community in the Greater Toronto Area known for its diverse population, residential neighborhoods, and proximity to Toronto.
  • D. Thornhill
    Thornhill is a small village in Dumfries and Galloway, Scotland, known for its rural character and proximity to the River Nith.
  • E. Richmond Hill, Ontario
    Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
  • 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_69b43303f1088190be5e4460f579efb8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:21 p.m.