Triple

T11211055
Position Surface form Disambiguated ID Type / Status
Subject Frankfort Independent Schools E265307 entity
Predicate isSmallDistrict P97865 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: [Frankfort Independent Schools, isSmallDistrict, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSmallDistrict
Context triple: [Frankfort Independent Schools, isSmallDistrict, true]
  • A. isSmallAreaMunicipality
    Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
  • B. isSmallCity
    Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
  • C. isSmallestLocalGovernmentUnitIn
    Indicates that one administrative unit is the smallest (most localized) level of government within the specified larger territorial or political area.
  • D. isSingleDistrictFor
    Indicates that one district uniquely and exclusively serves or applies to a given entity, with no other districts sharing that role.
  • E. isRuralDistrictOf
    Indicates that one administrative area is a rural district that belongs to or is governed as part of another, typically larger, administrative unit.
  • F. None of above. chosen

Provenance (4 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf83464819087529d47d025d313 completed April 9, 2026, 8:02 a.m.
PDg Predicate description generation batch_69d77062271c8190b63da714ab5beff9 completed April 9, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:30 p.m.