Triple

T15502337
Position Surface form Disambiguated ID Type / Status
Subject HPN E378990 entity
Predicate servesCity P82 FINISHED
Object White Plains 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: White Plains | Statement: [HPN, servesCity, White Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Plains
Context triple: [HPN, servesCity, White Plains]
  • A. White Plains chosen
    White Plains is a commercial and administrative hub in Westchester County, New York, known for its corporate offices, shopping centers, and role as a key suburban city north of New York City.
  • B. Greenburgh, New York
    Greenburgh, New York is a suburban town in Westchester County just north of New York City, known for its residential neighborhoods, diverse population, and proximity to major urban centers.
  • C. Tappan, New York
    Tappan, New York is a historic hamlet in Rockland County known for its colonial-era sites and role in the American Revolutionary War.
  • D. Tappan
    The Tappan were a Lenape (Delaware) Native American group who inhabited parts of present-day New York and New Jersey during the early colonial period.
  • E. Tappan
    Tappan is a surname most notably associated with the prominent 19th-century American abolitionist and philanthropist Arthur Tappan.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
Created at: April 10, 2026, 3:54 a.m.