Triple

T13007393
Position Surface form Disambiguated ID Type / Status
Subject Ubirr E322322 entity
Predicate hasRangerGuidedTalks P107794 FINISHED
Object seasonal 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: seasonal | Statement: [Ubirr, hasRangerGuidedTalks, seasonal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRangerGuidedTalks
Context triple: [Ubirr, hasRangerGuidedTalks, seasonal]
  • A. hasInterpretiveTrails
    Indicates that an entity provides or features designated trails accompanied by informational or educational materials to help visitors interpret and understand the surroundings.
  • B. hasWildlifeObservationPoints
    Indicates that a location or area includes designated points or spots where wildlife can be observed.
  • C. hasTouristRoute
    Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
  • D. hasVisitorCenterBy
    Indicates that a location or site is served or administered by a specific visitor center.
  • E. hasGuidebook
    Indicates that an entity possesses, is associated with, or is provided with a guidebook.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69d97dc153a081909d13a694993f074a completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e74283c819082e69ac3554fa7d8 completed April 10, 2026, 10:49 p.m.
Created at: April 9, 2026, 8:48 p.m.