Triple

T1534049
Position Surface form Disambiguated ID Type / Status
Subject Middle East Airlines E32509 entity
Predicate safetyRecordIncludes P18677 FINISHED
Object history of operations during Lebanese civil conflict 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: history of operations during Lebanese civil conflict | Statement: [Middle East Airlines, safetyRecordIncludes, history of operations during Lebanese civil conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRecordIncludes
Context triple: [Middle East Airlines, safetyRecordIncludes, history of operations during Lebanese civil conflict]
  • A. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • B. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • C. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • D. hasNotableIncident chosen
    Indicates that an entity is associated with a significant or noteworthy event, occurrence, or incident.
  • E. hasHazardSignage
    Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.