Triple

T2511989
Position Surface form Disambiguated ID Type / Status
Subject Queens County E52721 entity
Predicate containsNeighborhood P4813 FINISHED
Object Neponsit E449220 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: Neponsit | Statement: [Queens County, containsNeighborhood, Neponsit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neponsit
Context triple: [Queens County, containsNeighborhood, Neponsit]
  • A. Neponsit chosen
    Neponsit is a residential neighborhood in the Rockaway Peninsula of Queens, New York City, known for its beachfront homes and suburban character.
  • B. Hempstead
    Hempstead is a residential suburb and local community within the town of Gillingham in Kent, England.
  • C. Pocantico Hills
    Pocantico Hills is a small hamlet in the town of Mount Pleasant, New York, best known as the longtime country estate area of the Rockefeller family.
  • D. Great Neck
    Great Neck is a suburban community on Long Island, New York, known for its affluent population and significant Persian Jewish presence.
  • E. Hempstead, New York
    Hempstead, New York is a large town on Long Island known for its substantial suburban population and proximity to New York City.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69be92151b108190b415b7c6cf146b09 completed March 21, 2026, 12:41 p.m.
Created at: March 6, 2026, 9:46 p.m.