Triple

T16157425
Position Surface form Disambiguated ID Type / Status
Subject Rockfish Gap E392080 entity
Predicate transportHazard P1950 FINISHED
Object subject to fog and winter weather 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: subject to fog and winter weather conditions | Statement: [Rockfish Gap, transportHazard, subject to fog and winter weather conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportHazard
Context triple: [Rockfish Gap, transportHazard, subject to fog and winter weather conditions]
  • A. transportThreat
    Indicates a relationship where an entity moves or conveys a threat from one place or context to another.
  • B. hasHazardousMaterialsRestrictions
    Indicates that there are rules or limitations governing the presence, handling, or transport of hazardous materials in relation to the subject.
  • C. hazardType chosen
    Indicates the specific kind or category of hazard associated with an entity or situation.
  • D. hazmatSupport
    Indicates that one entity provides hazardous materials (hazmat) response or support services to another entity or situation.
  • E. hasNotableHazard
    Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5b57a48190b6fe21f1c63e1ba3 completed April 17, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.