Triple

T11369118
Position Surface form Disambiguated ID Type / Status
Subject East Bronx E269294 entity
Predicate hasNeighborhood P40 FINISHED
Object Van Nest E297868 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: Van Nest | Statement: [East Bronx, hasNeighborhood, Van Nest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Nest
Context triple: [East Bronx, hasNeighborhood, Van Nest]
  • A. Van Nest chosen
    Van Nest is a residential neighborhood in the East Bronx of New York City, known for its diverse community and mix of row houses, small apartment buildings, and local businesses.
  • B. Sayville
    Sayville is a hamlet on the South Shore of Long Island in Suffolk County, New York, known as a residential and waterfront community with ferry access to Fire Island.
  • C. Pastoria
    Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
  • D. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • E. Le Roy, New York
    Le Roy, New York is a small village in Genesee County best known as the birthplace of the Jell-O dessert brand.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5567b67f88190b0412e30b346d36d completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.