Triple

T19599162
Position Surface form Disambiguated ID Type / Status
Subject Orangetown E470421 entity
Predicate hasBorder P224 FINISHED
Object Clarkstown 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: Clarkstown | Statement: [Orangetown, hasBorder, Clarkstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarkstown
Context triple: [Orangetown, hasBorder, Clarkstown]
  • A. Pawling
    Pawling is a small town and village in southeastern New York State known for its rural character, historic charm, and location within Dutchess County.
  • B. Aidenville
    Aidenville was a former name used for the post office serving the community now known as Adin in Modoc County, California.
  • C. Dunmore Corners
    Dunmore Corners is a neighborhood within the community of Dunmore, known primarily as a local residential area.
  • D. Town of Clarkstown chosen
    The Town of Clarkstown is a suburban municipality in southeastern New York State known for its residential communities, commercial centers, and proximity to New York City.
  • E. Guilderland
    Guilderland is a suburban town in eastern New York State that serves as a major residential and commercial community within the Albany metropolitan area.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.