Triple

T1119460
Position Surface form Disambiguated ID Type / Status
Subject Rose Bowl E11175 entity
Predicate weatherCharacteristic P2044 FINISHED
Object typically mild and sunny on game day 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: typically mild and sunny on game day | Statement: [Rose Bowl, weatherCharacteristic, typically mild and sunny on game day]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weatherCharacteristic
Context triple: [Rose Bowl, weatherCharacteristic, typically mild and sunny on game day]
  • A. weatherCondition
    Indicates the type of atmospheric state or weather pattern (e.g., sunny, rainy, snowy) affecting a location or time period.
  • B. hasWeather chosen
    Indicates that a location or environment is experiencing or characterized by a particular type of weather condition.
  • C. hasExtremeWeatherCharacteristic
    Indicates that something possesses a notable or defining feature related to extreme weather conditions.
  • D. winterCharacteristic
    Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
  • E. environmentalCondition
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:43 p.m.