Triple

T26863764
Position Surface form Disambiguated ID Type / Status
Subject Yavapai Geology Museum E676407 entity
Predicate hasSubjectOfDisplay P182821 FINISHED
Object Grand Canyon rock formations NE NERFINISHED

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: Grand Canyon rock formations | Statement: [Yavapai Geology Museum, hasSubjectOfDisplay, Grand Canyon rock formations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectOfDisplay
Context triple: [Yavapai Geology Museum, hasSubjectOfDisplay, Grand Canyon rock formations]
  • A. hasHumanSubject
    Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
  • B. hasFullNameOfSubject
    Indicates that the associated value is the complete, formal name of the subject entity.
  • C. hasTypicalSubject
    Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
  • D. immediateSubjectOf
    Indicates that one entity is the direct grammatical subject of another entity (typically a clause, phrase, or verb), without any intervening subject relations.
  • E. mayBeSubjectOf
    Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
  • 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f794f24e588190965e39b77534d53f completed May 3, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
PDg Predicate description generation batch_69f791cad5e08190a8a04ca283dbecaa completed May 3, 2026, 6:19 p.m.
Created at: April 27, 2026, 5:27 a.m.