Triple

T27546784
Position Surface form Disambiguated ID Type / Status
Subject N72EX E695383 entity
Predicate accidentCauseFindingAuthority P163499 FINISHED
Object NTSB NE NERFINISHED

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: NTSB | Statement: [N72EX, accidentCauseFindingAuthority, NTSB]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accidentCauseFindingAuthority
Context triple: [N72EX, accidentCauseFindingAuthority, NTSB]
  • A. causedAccident
    Indicates that one entity is responsible for bringing about or initiating an accident involving another entity or situation.
  • B. accidentInvestigator chosen
    Indicates that one entity is responsible for examining and determining the causes and circumstances of an accident involving another entity.
  • C. accidentType
    Indicates the specific category or kind of accident associated with an event or incident.
  • D. resultOfAccident
    Indicates that something exists or occurs as a consequence or outcome of an accident.
  • E. NTSBProbableCauseSummary
    Indicates a summarized explanation of the National Transportation Safety Board’s determination of the most likely causes and contributing factors of an accident or incident.
  • 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_69ef5386c3e08190bfe33aa326e1f72b completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 1:33 p.m.