Triple

T3866234
Position Surface form Disambiguated ID Type / Status
Subject Queens Boulevard E91860 entity
Predicate passesThrough P225 FINISHED
Object Sunnyside E142776 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: Sunnyside | Statement: [Queens Boulevard, passesThrough, Sunnyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnyside
Context triple: [Queens Boulevard, passesThrough, Sunnyside]
  • A. Sunnyside
    Sunnyside was the South African parliamentary constituency represented by Hendrik Verwoerd, the prime minister widely regarded as the chief architect of apartheid.
  • B. Sunnyside chosen
    Sunnyside is a residential neighborhood in the western part of Queens, New York City, known for its diverse community and prewar apartment buildings.
  • C. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • D. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • E. Hillside
    Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
  • 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_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.