Triple

T1425895
Position Surface form Disambiguated ID Type / Status
Subject Triborough Bridge E30330 entity
Predicate connects P390 FINISHED
Object Queens E7475 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: Queens | Statement: [Triborough Bridge, connects, Queens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queens
Context triple: [Triborough Bridge, connects, Queens]
  • A. Queens chosen
    Queens is one of the five boroughs of New York City, known for its ethnic diversity, major airports, and mix of residential neighborhoods and commercial centers.
  • B. The Bronx
    The Bronx is one of the five boroughs of New York City, known as the birthplace of hip-hop and home to Yankee Stadium and the Bronx Zoo.
  • C. Brooklyn
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • D. Flushing
    Flushing is a diverse neighborhood in the New York City borough of Queens, known for its large Asian community, bustling commercial districts, and cultural landmarks.
  • E. Long Island City
    Long Island City is a rapidly developing waterfront neighborhood in western Queens, New York City, known for its high-rise residential towers, arts scene, and views of the Manhattan skyline.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bd59148190b96f9f585e07aa0d completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69afce6b95608190b4c15922cc3dd9f2 completed March 10, 2026, 7:55 a.m.
Created at: March 1, 2026, 8 p.m.