Triple

T7259598
Position Surface form Disambiguated ID Type / Status
Subject Palm Springs International Airport E159614 entity
Predicate hasSeasonalTrafficPattern P955 FINISHED
Object high winter season traffic 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: high winter season traffic | Statement: [Palm Springs International Airport, hasSeasonalTrafficPattern, high winter season traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeasonalTrafficPattern
Context triple: [Palm Springs International Airport, hasSeasonalTrafficPattern, high winter season traffic]
  • A. hasSeasonalPattern chosen
    Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
  • B. hasTrafficPattern
    Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
  • C. servesSeasonalTraffic
    Indicates that an entity provides service only during specific seasons or periods of the year, rather than year-round.
  • D. hasSeasonalNature
    Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
  • E. hasSeasonalMigration
    Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb088dac8190b353f6ea3d686025 completed March 27, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69c6e76876608190ac4652bc7153302e completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:57 p.m.