Triple

T2532333
Position Surface form Disambiguated ID Type / Status
Subject Riverdale, Bronx E56189 entity
Predicate borderedBy P224 FINISHED
Object Kingsbridge E53336 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: Kingsbridge | Statement: [Riverdale, Bronx, borderedBy, Kingsbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsbridge
Context triple: [Riverdale, Bronx, borderedBy, Kingsbridge]
  • A. Kingsbridge chosen
    Kingsbridge is a residential neighborhood in the northwest Bronx in New York City, known for its diverse community and mix of apartment buildings and small businesses.
  • B. Brighthelmstone
    Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
  • C. Rodmell
    Rodmell is a small village in East Sussex, England, best known for its association with the writers Leonard and Virginia Woolf.
  • D. Grosmont
    Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
  • E. Bettany
    Bettany is an English surname most notably associated with actor Paul Bettany.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb9c37081909128d7a227651c8b completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:47 p.m.