Triple

T3761913
Position Surface form Disambiguated ID Type / Status
Subject Albuquerque International Balloon Fiesta E82180 entity
Predicate hasPhotographyRestrictions P50800 FINISHED
Object limited drone use 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: limited drone use | Statement: [Albuquerque International Balloon Fiesta, hasPhotographyRestrictions, limited drone use]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographyRestrictions
Context triple: [Albuquerque International Balloon Fiesta, hasPhotographyRestrictions, limited drone use]
  • A. allowsPhotography
    Indicates that one entity permits another entity to take photographs in a particular context or location.
  • B. hasPhotographicConvention
    Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
  • C. isPhotographicSubject
    Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
  • D. hasPhotographicRecordSince
    Indicates that a photographic record of an entity has existed continuously since a specified point in time.
  • E. hasPhotograph
    Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc0fe3e3c8190bd886c7745c172a0 completed March 8, 2026, 6:33 p.m.
Created at: March 8, 2026, 3:35 p.m.