Triple

T32865358
Position Surface form Disambiguated ID Type / Status
Subject Pasir Gudang World Kite Festival E840632 entity
Predicate weatherRequirement P36472 FINISHED
Object windy conditions 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: windy conditions | Statement: [Pasir Gudang World Kite Festival, weatherRequirement, windy conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weatherRequirement
Context triple: [Pasir Gudang World Kite Festival, weatherRequirement, windy conditions]
  • A. hasMinimumWeatherRequirements chosen
    Indicates that a subject is associated with the lowest acceptable set of weather conditions required for a particular activity, operation, or state to occur.
  • B. trialRequirement
    Indicates that a certain condition, action, or resource is required for a trial to be conducted or considered valid.
  • C. inspectionRequired
    Indicates that an entity must undergo an inspection before it can proceed, be used, or be approved.
  • D. noticeRequirement
    Indicates that one party is obligated to provide advance notification to another party before a specified action, change, or event occurs.
  • E. boardingRequirement
    Indicates the conditions or criteria that must be met for an entity to be allowed to board another entity (such as a vehicle, vessel, or aircraft).
  • 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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ceb9fc288190b4f187a33010c4e6 completed May 3, 2026, 4:27 a.m.
PD Predicate disambiguation batch_69f6cc177b288190904f3f23cb856d8b completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:17 a.m.