Triple

T6193608
Position Surface form Disambiguated ID Type / Status
Subject Kentucky State University E138454 entity
Predicate hasLandGrantMission P33127 FINISHED
Object agricultural research and extension 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: agricultural research and extension | Statement: [Kentucky State University, hasLandGrantMission, agricultural research and extension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandGrantMission
Context triple: [Kentucky State University, hasLandGrantMission, agricultural research and extension]
  • A. hasHistoricLandGrants
    Indicates that an entity has been granted land through one or more historically significant official land grants.
  • B. hasLandGrantCampus chosen
    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. grantedIsland
    Indicates that an authority has formally given control or ownership of an island to a recipient.
  • E. landGrantLocation
    Indicates the geographic place or area to which a particular land grant applies or in which it is situated.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062431ae88190a1bf6ca91f3dc690 completed March 22, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69c055fbce1081908805fd12e242ab96 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:19 p.m.