Triple

T13365088
Position Surface form Disambiguated ID Type / Status
Subject Arkansas Tech University E318917 entity
Predicate isLandGrant P17831 FINISHED
Object false 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: false | Statement: [Arkansas Tech University, isLandGrant, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLandGrant
Context triple: [Arkansas Tech University, isLandGrant, false]
  • A. isLandGrantInstitution
    Indicates that an educational institution has been designated as a land-grant institution under government legislation, typically receiving federally granted land or support to focus on practical education and public service.
  • B. hasLandGrantCampus
    Indicates that an educational institution is designated as a land-grant campus under a land-grant university system or program.
  • C. landGrantField
    Indicates that a specific field or parcel of land has been allocated or granted, typically by an authority, to a recipient under a land grant arrangement.
  • D. landGrantDesignation chosen
    Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
  • E. originalLandGrantBy
    Indicates that an entity was granted land by a specified grantor in the original land grant transaction.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.