Triple

T5355971
Position Surface form Disambiguated ID Type / Status
Subject Air Transat E102691 entity
Predicate safetyRecordNote P32502 FINISHED
Object experienced Flight 236 fuel exhaustion incident in 2001 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: experienced Flight 236 fuel exhaustion incident in 2001 | Statement: [Air Transat, safetyRecordNote, experienced Flight 236 fuel exhaustion incident in 2001]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRecordNote
Context triple: [Air Transat, safetyRecordNote, experienced Flight 236 fuel exhaustion incident in 2001]
  • A. notableSafety chosen
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • B. notableProtectiveIncident
    Indicates that a significant event occurred in which one entity protected or defended another in a notable or remarkable way.
  • C. observationSafety
    Indicates that an observation or monitoring activity is conducted in a manner that ensures the safety of the subjects, observers, and environment involved.
  • D. isNotedOn
    Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
  • E. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.