Triple

T1178132
Position Surface form Disambiguated ID Type / Status
Subject Mott Haven E25074 entity
Predicate hasLandmark P105 FINISHED
Object Third Avenue Bridge E25334 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: Third Avenue Bridge | Statement: [Mott Haven, hasLandmark, Third Avenue Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Third Avenue Bridge
Context triple: [Mott Haven, hasLandmark, Third Avenue Bridge]
  • A. Third Avenue Bridge chosen
    The Third Avenue Bridge is a major swing bridge in New York City that carries traffic between Manhattan and the Bronx.
  • B. Madison Avenue Bridge
    The Madison Avenue Bridge is a historic swing bridge in New York City that carries Madison Avenue traffic between Manhattan and the Bronx.
  • C. Park Avenue Bridge
    The Park Avenue Bridge is a vertical-lift railroad bridge in New York City that carries Metro-North Railroad tracks between Manhattan and the Bronx.
  • D. Willis Avenue Bridge
    The Willis Avenue Bridge is a swing bridge in New York City that carries traffic between Manhattan and the Bronx.
  • E. Broadway Bridge
    The Broadway Bridge is a movable bridge in New York City that carries Broadway and the subway across the Harlem River between Manhattan and the Bronx.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69afb6573b108190a9d5a2053e7f3b8c completed March 10, 2026, 6:12 a.m.
Created at: March 1, 2026, 7:45 p.m.