Triple

T17398370
Position Surface form Disambiguated ID Type / Status
Subject Fort Totten Park E423013 entity
Predicate neighborhood P988 FINISHED
Object Bayside NE NERFINISHED

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: Bayside | Statement: [Fort Totten Park, neighborhood, Bayside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayside
Context triple: [Fort Totten Park, neighborhood, Bayside]
  • A. Bayside chosen
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • B. Bayside
    Bayside is a neighborhood in Portland, Maine, known for its mix of residential, commercial, and light industrial areas just west of East Bayside.
  • C. City of Bayside
    City of Bayside is a local government area in Melbourne, Victoria, Australia, known for its affluent coastal suburbs along Port Phillip Bay.
  • D. East Bayside
    East Bayside is a revitalized, historically industrial waterfront neighborhood in Portland, Maine, known for its breweries, arts scene, and mixed-use development.
  • E. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abf7ea08190a9d9f9358e3bb684 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.