Triple

T23008501
Position Surface form Disambiguated ID Type / Status
Subject Unorganized Borough E572843 entity
Predicate usesForEducationAdministration P150629 FINISHED
Object Regional Educational Attendance Areas 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: Regional Educational Attendance Areas | Statement: [Unorganized Borough, usesForEducationAdministration, Regional Educational Attendance Areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesForEducationAdministration
Context triple: [Unorganized Borough, usesForEducationAdministration, Regional Educational Attendance Areas]
  • A. usedInEducationIn
    Indicates that something is employed or applied within educational contexts in a particular place or institution.
  • B. educationUse
    Indicates the use or application of something specifically for educational purposes or in an educational context.
  • C. hasEducationalUse
    Indicates that something is intended to be used for educational or instructional purposes.
  • D. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • E. usesStudentsFor
    Indicates that one entity employs or exploits students as a resource or means to carry out its activities or achieve its objectives.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835919b08190ba78e182b87358d4 completed April 29, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
PDg Predicate description generation batch_69ef538b29c081908fa56ee35a1dcee7 completed April 27, 2026, 12:16 p.m.
Created at: April 17, 2026, 3:51 p.m.