Triple

T24946975
Position Surface form Disambiguated ID Type / Status
Subject Town of Chenango, New York E624210 entity
Predicate hasHigherEducationServiceArea P149742 FINISHED
Object Binghamton area LITERAL 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: Binghamton area | Statement: [Town of Chenango, New York, hasHigherEducationServiceArea, Binghamton area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHigherEducationServiceArea
Context triple: [Town of Chenango, New York, hasHigherEducationServiceArea, Binghamton area]
  • A. hasEducationalServiceArea
    Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified geographic area.
  • B. higherEducationServiceArea chosen
    Indicates that one entity defines or serves as the geographic or jurisdictional area within which higher education services are provided to another entity.
  • C. hasHigherEducationAccess
    Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
  • D. hasEducationServices
    Indicates that one entity provides or offers educational services to another entity or within a particular context.
  • E. hasHigherEducationType
    Indicates that one entity has a specified type or category of higher education associated with it.
  • F. None of above.

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_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 18, 2026, 5:54 a.m.