Triple

T20491677
Position Surface form Disambiguated ID Type / Status
Subject Lucky Lady II E502759 entity
Predicate airframeStatusAfterRecord P66892 FINISHED
Object returned to normal operational service 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: returned to normal operational service | Statement: [Lucky Lady II, airframeStatusAfterRecord, returned to normal operational service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airframeStatusAfterRecord
Context triple: [Lucky Lady II, airframeStatusAfterRecord, returned to normal operational service]
  • A. airframeCompletionStatus
    Indicates the current stage or outcome of completing an aircraft’s airframe within its build or maintenance process.
  • B. aircraftStatus chosen
    Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
  • C. aircraftRecord
    Indicates a relationship where a record or entry documents information about an aircraft and its associated details.
  • D. flightRecord
    Indicates a record of a specific flight event or journey, capturing details about its occurrence and characteristics.
  • E. airframe
    Indicates that an entity is the structural framework or body of an aircraft associated with another entity (such as a specific model, component, or system).
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cba5b708190bef437acf6321b81 completed April 20, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:35 a.m.