Triple

T925762
Position Surface form Disambiguated ID Type / Status
Subject Generals Highway E19978 entity
Predicate seasonalConditions P1702 FINISHED
Object can be affected by snow and ice in winter 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: can be affected by snow and ice in winter | Statement: [Generals Highway, seasonalConditions, can be affected by snow and ice in winter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seasonalConditions
Context triple: [Generals Highway, seasonalConditions, can be affected by snow and ice in winter]
  • A. hasSeasonalStatus
    Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
  • B. environmentalCondition
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • C. seasonCharacterization
    Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
  • D. weatherCondition chosen
    Indicates the type of atmospheric state or weather pattern (e.g., sunny, rainy, snowy) affecting a location or time period.
  • E. typicalSeasonTiming
    Indicates the usual time period or season during which something normally occurs or is expected to take place.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b388f0bc8190a087222636135ba5 completed March 1, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69a4b2970a4c8190b22cb2fd4706f62b completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.