Triple

T11262642
Position Surface form Disambiguated ID Type / Status
Subject Town of Schuyler Falls E266601 entity
Predicate isLocalGovernmentUnit P95854 FINISHED
Object true 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: true | Statement: [Town of Schuyler Falls, isLocalGovernmentUnit, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLocalGovernmentUnit
Context triple: [Town of Schuyler Falls, isLocalGovernmentUnit, true]
  • A. isLocalGovernment chosen
    Indicates that an entity functions as a governing body with authority over a specific local or regional area within a larger political system.
  • B. isUrbanLocalGovernmentUnitOf
    Indicates that one entity functions as the urban local government authority responsible for administering the other entity.
  • C. hasLocalGovernmentBody
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • D. hasLocalGovernmentCode
    Indicates that an entity is associated with a specific code assigned by a local government authority for identification or administrative purposes.
  • E. isSmallestLocalGovernmentUnitIn
    Indicates that one administrative unit is the smallest (most localized) level of government within the specified larger territorial or political area.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94c066c8190be1e032eb328e5fe completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d7879bc56c8190b2e8d2193f29de05 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.