Triple

T16088694
Position Surface form Disambiguated ID Type / Status
Subject 1992 Windsor Castle fire E390301 entity
Predicate firefightingPersonnel P96794 FINISHED
Object over 200 firefighters 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: over 200 firefighters | Statement: [1992 Windsor Castle fire, firefightingPersonnel, over 200 firefighters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firefightingPersonnel
Context triple: [1992 Windsor Castle fire, firefightingPersonnel, over 200 firefighters]
  • A. firefightingResponse
    Indicates the action of responding to and attempting to control or extinguish a fire or related emergency.
  • B. fireRescue
    Indicates a relationship where one entity performs or is responsible for rescuing people or property from fires or fire-related emergencies involving another entity.
  • C. numberOfFirefightersInvolved chosen
    Indicates the total count of firefighters who participated in or were involved in a specific event, incident, or operation.
  • D. firefightingMethods
    Indicates the techniques or strategies used to control, contain, or extinguish fires.
  • E. personnel
    Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:59 a.m.