Triple

T25896281
Position Surface form Disambiguated ID Type / Status
Subject Fort Davis area E652478 entity
Predicate hasInterpretiveMedia P34567 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: [Fort Davis area, hasInterpretiveMedia, wayside exhibits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveMedia
Context triple: [Fort Davis area, hasInterpretiveMedia, wayside exhibits]
  • A. hasInterpretiveExhibits chosen
    Indicates that an entity includes or provides exhibits designed to explain, interpret, or contextualize information for viewers.
  • B. 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.
  • C. hasInterpretiveStaff
    Indicates that an entity provides personnel whose role is to explain, interpret, or facilitate understanding of its content, activities, or environment for others.
  • D. hasInterpretiveCenters
    Indicates that an entity possesses or is associated with one or more interpretive centers that provide information, explanation, or context about it.
  • E. hasInterpretiveSigns
    Indicates that interpretive or informational signs are present at or associated with the subject.
  • 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_69e7ab3c6cc081908de59bfcc28ec19d completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
Created at: April 22, 2026, 8:23 a.m.