Triple

T15810182
Position Surface form Disambiguated ID Type / Status
Subject Rivertowns E383325 entity
Predicate hasPart P35 FINISHED
Object Ardsley, New York 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: Ardsley, New York | Statement: [Rivertowns, hasPart, Ardsley, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardsley, New York
Context triple: [Rivertowns, hasPart, Ardsley, New York]
  • A. Ardsley, New York chosen
    Ardsley, New York is a small suburban village in Westchester County known for its residential character, strong public schools, and proximity to New York City.
  • B. Bronxville, New York
    Bronxville, New York is a small, affluent suburban village just north of New York City, known for its picturesque residential character, strong schools, and proximity to Manhattan.
  • C. Chappaqua, New York
    Chappaqua, New York is an affluent suburban hamlet in Westchester County known for its prominent political residents and highly ranked public schools.
  • D. Scarsdale, New York
    Scarsdale, New York is an affluent suburban town north of New York City, known for its highly ranked public schools and residential character.
  • E. Hartsdale, New York
    Hartsdale, New York is a suburban hamlet in Westchester County known for its residential character and proximity to New York City.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
Created at: April 10, 2026, 4:49 a.m.