Triple

T23830402
Position Surface form Disambiguated ID Type / Status
Subject UMES E589496 entity
Predicate landGrantMissionArea P70291 FINISHED
Object teaching 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: teaching | Statement: [UMES, landGrantMissionArea, teaching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landGrantMissionArea
Context triple: [UMES, landGrantMissionArea, teaching]
  • A. landGrantMission chosen
    Indicates that an institution or entity has been designated as a land-grant mission, typically focusing on public service, practical education, and research supported by government-granted land or equivalent resources.
  • B. 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.
  • C. landGrantLocation
    Indicates the geographic place or area to which a particular land grant applies or in which it is situated.
  • D. landGrantDesignation
    Indicates that an institution has been formally designated as a land-grant institution under a land-grant program or legislation.
  • E. landGrantRecipient
    Indicates that an entity is the recipient or beneficiary of a grant of land from another party or authority.
  • 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_69e25d1922d481909cab567c06a802ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7f5de508190bd6bb6d89b8952d5 completed April 29, 2026, 8:57 a.m.
PD Predicate disambiguation batch_69f156036ad48190bc2ffdaf39218bcb completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 8:04 p.m.