Triple

T34057631
Position Surface form Disambiguated ID Type / Status
Subject Petroglyph Point E873404 entity
Predicate interpretiveFacility P137960 FINISHED
Object wayside exhibits 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: wayside exhibits | Statement: [Petroglyph Point, interpretiveFacility, wayside exhibits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretiveFacility
Context triple: [Petroglyph Point, interpretiveFacility, wayside exhibits]
  • A. interpretationFacility chosen
    Indicates that an entity serves as a facility or venue where interpretation (such as language or translation services) is provided or supported.
  • B. interpretiveRole
    Indicates that one entity serves as an interpretive function or perspective through which another entity is understood, explained, or given meaning.
  • C. interpretiveStatus
    Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
  • D. hasInterpretiveService
    Indicates that an entity provides or is associated with interpretive services (such as translation, sign language, or explanatory guidance) for another entity or context.
  • E. functionalInterpretation
    Indicates that one entity serves as a functional or operational explanation, mapping, or realization of another entity’s structure, specification, or meaning.
  • 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_69f349a3ec2c8190b62da76e54231a0f completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fdd92396788190ae1424bc1ae55844 completed May 8, 2026, 12:37 p.m.
PD Predicate disambiguation batch_69fdd678f40481909a717a2daec83b36 completed May 8, 2026, 12:26 p.m.
Created at: May 1, 2026, 1:52 a.m.