Triple

T1262367
Position Surface form Disambiguated ID Type / Status
Subject 42nd Street E12528 entity
Predicate passesThrough P225 FINISHED
Object Tudor City E26505 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: Tudor City | Statement: [42nd Street, passesThrough, Tudor City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tudor City
Context triple: [42nd Street, passesThrough, Tudor City]
  • A. Tudor City chosen
    Tudor City is a historic residential complex in Midtown Manhattan, New York City, known as one of the first high-rise urban housing developments in the world.
  • B. City of Elizabeth
    The City of Elizabeth is a major urban center in Union County, New Jersey, known for its industrial waterfront, transportation hubs, and proximity to Newark and New York City.
  • C. City of Fairfax
    The City of Fairfax is a small, historic independent city in Northern Virginia that serves as a suburban community and local government center near Washington, D.C.
  • D. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • E. Harlington
    Harlington is a village in the London Borough of Hillingdon, England, known for its proximity to Heathrow Airport and its mix of residential areas 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc77f4c8190b97a0ceaa31cfd49 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f1d1008190bd86948eb1b35b2d completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.