Triple

T15082658
Position Surface form Disambiguated ID Type / Status
Subject Chappaqua station E360188 entity
Predicate serves P98 FINISHED
Object Chappaqua 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: Chappaqua | Statement: [Chappaqua station, serves, Chappaqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chappaqua
Context triple: [Chappaqua station, serves, Chappaqua]
  • A. Chappaqua, New York chosen
    Chappaqua, New York is an affluent suburban hamlet in Westchester County known for its prominent political residents and highly ranked public schools.
  • B. 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.
  • C. Neponsit
    Neponsit is a residential neighborhood in the Rockaway Peninsula of Queens, New York City, known for its beachfront homes and suburban character.
  • D. Briarcliff Manor, New York
    Briarcliff Manor, New York is a suburban village along the Hudson River known for its affluent residential character, historic estates, and proximity to New York City.
  • E. Glen Head
    Glen Head is a hamlet on the North Shore of Long Island in Nassau County, New York, known for its suburban residential character and proximity to affluent Gold Coast communities.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
Created at: April 10, 2026, 3:03 a.m.