Triple

T8719068
Position Surface form Disambiguated ID Type / Status
Subject Notre-Dame de Paris fire of 2019 E206965 entity
Predicate declaredEmergency P84253 FINISHED
Object major national disaster in France 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: major national disaster in France | Statement: [Notre-Dame de Paris fire of 2019, declaredEmergency, major national disaster in France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: declaredEmergency
Context triple: [Notre-Dame de Paris fire of 2019, declaredEmergency, major national disaster in France]
  • A. declaredStateOfEmergency
    Indicates that an authority has officially proclaimed a state of emergency is in effect for a given area or situation.
  • B. healthEmergencyDeclaredBy
    Indicates that a health emergency has been formally proclaimed or announced by a specific authority or entity.
  • C. emergencyAlertType
    Indicates the specific category or kind of emergency associated with an alert.
  • D. emergencyEvent
    Indicates that an urgent, unexpected, and potentially harmful situation or incident has occurred requiring immediate attention or response.
  • E. emergencyResponse
    Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
  • F. None of above. chosen

Provenance (4 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d014e208190a4c6055901580d0c completed March 31, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69cc457093188190959287a6458651c6 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc489dd528819084ed5d88bd8bb3d6 completed March 31, 2026, 10:20 p.m.
Created at: March 30, 2026, 6:36 p.m.