Triple

T4636316
Position Surface form Disambiguated ID Type / Status
Subject University of Idaho E101540 entity
Predicate knownForAcademicStrength P41356 FINISHED
Object agriculture 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: agriculture | Statement: [University of Idaho, knownForAcademicStrength, agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: knownForAcademicStrength
Context triple: [University of Idaho, knownForAcademicStrength, agriculture]
  • A. hasAcademicStrengthIn chosen
    Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
  • B. researchStrength
    Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
  • C. notableAlmaMater
    Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
  • D. notableInstitution
    Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
  • E. widelyStudiedIn
    Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a60a66c8190b76f3d3a7da1df55 completed March 20, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69bd5233cb5081908807e2b150f0ca06 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:13 p.m.