Triple

T37878062
Position Surface form Disambiguated ID Type / Status
Subject Chief Joseph Scenic Byway E944788 entity
Predicate hasInterpretiveSignageAbout P36768 FINISHED
Object Chief Joseph 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: Chief Joseph | Statement: [Chief Joseph Scenic Byway, hasInterpretiveSignageAbout, Chief Joseph]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveSignageAbout
Context triple: [Chief Joseph Scenic Byway, hasInterpretiveSignageAbout, Chief Joseph]
  • A. hasInterpretiveSigns chosen
    Indicates that interpretive or informational signs are present at or associated with the subject.
  • B. hasInterpretiveExhibits
    Indicates that an entity includes or provides exhibits designed to explain, interpret, or contextualize information for viewers.
  • C. hasTouristSignage
    Indicates that there is official signage present to guide or inform tourists about a place, route, or attraction.
  • D. hasInterpretiveTrails
    Indicates that an entity provides or features designated trails accompanied by informational or educational materials to help visitors interpret and understand the surroundings.
  • E. 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.
  • 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_69f76eef55d481908ca6660b4b532550 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a013e23698c81909a32d371b6f158d0 completed May 11, 2026, 2:25 a.m.
PD Predicate disambiguation batch_6a013db04b108190985897aa6e95b4ec completed May 11, 2026, 2:23 a.m.
Created at: May 3, 2026, 4:19 p.m.