Triple

T6742553
Position Surface form Disambiguated ID Type / Status
Subject Flushing E154121 entity
Predicate hasLandmark P105 FINISHED
Object Flushing Town Hall E493705 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: Flushing Town Hall | Statement: [Flushing, hasLandmark, Flushing Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flushing Town Hall
Context triple: [Flushing, hasLandmark, Flushing Town Hall]
  • A. Flushing Town Hall chosen
    Flushing Town Hall is a historic cultural and performing arts center in the Flushing neighborhood of Queens, New York City.
  • B. Queens Borough Hall
    Queens Borough Hall is the main government building and administrative center for the Borough of Queens in New York City.
  • C. Manhattan Borough Hall
    Manhattan Borough Hall is the historic government building in Lower Manhattan that houses the offices of the Manhattan Borough President and serves as a center of borough administration.
  • D. Brooklyn Borough Hall
    Brooklyn Borough Hall is a historic government building in Downtown Brooklyn that serves as the administrative center and ceremonial headquarters of the Borough of Brooklyn in New York City.
  • E. Brooklyn Municipal Building
    The Brooklyn Municipal Building is a prominent government office building in Brooklyn, New York, housing various city agencies and public services.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b245988190a9d5260f4872bbea completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b11b828819084d5a21dde5f1f5b completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.