Triple

T21917035
Position Surface form Disambiguated ID Type / Status
Subject Osaka Fire Department E541205 entity
Predicate riskTypeHandled P47303 FINISHED
Object fires 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: fires | Statement: [Osaka Fire Department, riskTypeHandled, fires]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskTypeHandled
Context triple: [Osaka Fire Department, riskTypeHandled, fires]
  • A. riskType
    Indicates the category or nature of risk associated with an entity, event, or relationship.
  • B. riskTypesManaged chosen
    Indicates that one entity is responsible for handling, controlling, or overseeing specific categories of risk associated with another entity or context.
  • C. riskElement
    Indicates that one entity is a risk-related component, factor, or contributor associated with another entity within a risk context.
  • D. riskAddressed
    Indicates that a particular risk has been identified and is being mitigated, managed, or otherwise handled by an associated action, control, or measure.
  • E. riskBasis
    Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:43 p.m.