Triple

T1892966
Position Surface form Disambiguated ID Type / Status
Subject Concorde (Air France) E41912 entity
Predicate safetyRecordImpact P30182 FINISHED
Object Air France Flight 4590 accident contributed to eventual retirement 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: Air France Flight 4590 accident contributed to eventual retirement | Statement: [Concorde (Air France), safetyRecordImpact, Air France Flight 4590 accident contributed to eventual retirement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRecordImpact
Context triple: [Concorde (Air France), safetyRecordImpact, Air France Flight 4590 accident contributed to eventual retirement]
  • A. safetyRelevant chosen
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • B. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • C. notableSafety
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • D. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • E. transportationImpact
    Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1480a6c81909fcf5cce4c42fed4 completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe7e7e88190b58c0df59187c0c2 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.