Triple

T4208608
Position Surface form Disambiguated ID Type / Status
Subject Air France Flight 447 E93840 entity
Predicate cockpitVoiceRecorderRecoveryDate P54756 FINISHED
Object 2011-05 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: 2011-05 | Statement: [Air France Flight 447, cockpitVoiceRecorderRecoveryDate, 2011-05]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cockpitVoiceRecorderRecoveryDate
Context triple: [Air France Flight 447, cockpitVoiceRecorderRecoveryDate, 2011-05]
  • A. operatorDuringRecordFlight
    Indicates that an operator is responsible for or engaged in operating a system or vehicle during the time a particular flight is being recorded.
  • B. cockpitCommonalityWith
    Indicates that two aircraft or vehicle models share a similar or standardized cockpit layout, controls, or interface design.
  • C. cockpitType
    Indicates the specific configuration or style of cockpit associated with an entity (e.g., vehicle or aircraft).
  • D. rocketCoreRecovery
    Indicates the process or outcome of retrieving and securing the main rocket core after its launch or mission.
  • E. launchAndRecovery
    Indicates a relationship where one entity is responsible for both deploying (launching) another entity into operation and subsequently retrieving (recovering) it afterward.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e098da881909a0cc339cc186627 completed March 12, 2026, 11:36 p.m.
PD Predicate disambiguation batch_69b347efd9b08190bb50f82e4e7fe06d completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e04ef1c81908bb34ae1cbfab1e6 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:03 p.m.