Triple

T4703703
Position Surface form Disambiguated ID Type / Status
Subject Centennial School District E104336 entity
Predicate typeOfSchoolDistrict P58636 FINISHED
Object local education agency 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: local education agency | Statement: [Centennial School District, typeOfSchoolDistrict, local education agency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSchoolDistrict
Context triple: [Centennial School District, typeOfSchoolDistrict, local education agency]
  • A. schoolSystemType
    Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
  • B. schoolDistrict
    Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
  • C. schoolSector
    Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
  • D. hasSchoolBoardType
    Indicates the specific governance or organizational structure type of a school board associated with an educational institution or district.
  • E. typeOfSpecialDistrict
    Indicates the specific category or classification of a special district to which an entity belongs.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:17 p.m.