Triple

T3866236
Position Surface form Disambiguated ID Type / Status
Subject Queens Boulevard E91860 entity
Predicate passesThrough P225 FINISHED
Object Elmhurst E272686 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: Elmhurst | Statement: [Queens Boulevard, passesThrough, Elmhurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmhurst
Context triple: [Queens Boulevard, passesThrough, Elmhurst]
  • A. Elmhurst chosen
    Elmhurst is a diverse residential and commercial neighborhood in the borough of Queens in New York City, known for its multicultural community and bustling shopping areas.
  • B. Elmwood Park
    Elmwood Park is a suburban community in Illinois located just west of Chicago, known for its residential character and convenient commuter rail access to the city.
  • C. Elmwood Park
    Elmwood Park is a residential neighborhood in Philadelphia, Pennsylvania, known for its diverse community and urban rowhouse character.
  • D. Elmhurst, Illinois
    Elmhurst, Illinois is a suburban city in the Chicago metropolitan area known for its residential neighborhoods, parks, and vibrant downtown.
  • E. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c808c808190928bf07788ad9657 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.