Triple

T14913465
Position Surface form Disambiguated ID Type / Status
Subject Caribbean Airlines E371321 entity
Predicate hasSafetyRecord P107603 FINISHED
Object no major hull-loss accidents reported up to 2024 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: no major hull-loss accidents reported up to 2024 | Statement: [Caribbean Airlines, hasSafetyRecord, no major hull-loss accidents reported up to 2024]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSafetyRecord
Context triple: [Caribbean Airlines, hasSafetyRecord, no major hull-loss accidents reported up to 2024]
  • A. safetyRecordChangedAfter
    Indicates that an entity’s safety record was modified following a specified event, time, or condition.
  • B. hasSafetyReputation chosen
    Indicates that one entity is associated with an assessment or record of safety-related reliability or trustworthiness.
  • C. hasSafetyCertificate
    Indicates that an entity possesses or has been granted a valid safety certificate.
  • D. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • E. hasSafetyCharacteristic
    Indicates that an entity possesses a specific safety-related property, feature, or attribute.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61d75008190b6f9a1a38137836f completed April 15, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69de9a52ba988190a26e268b4ea083ea completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:27 a.m.