Triple

T681385
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Airlines E13188 entity
Predicate governmentOwned P17469 FINISHED
Object true 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: true | Statement: [Malaysia Airlines, governmentOwned, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentOwned
Context triple: [Malaysia Airlines, governmentOwned, true]
  • A. governmentSymbol
    Indicates that something serves as an official emblem, sign, or representation of a government.
  • B. isPartOfGovernment
    Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
  • C. isGovernmentFacility
    Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
  • D. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • E. governmentBranch
    Indicates that one entity functions as an official division or branch within the structure of a government.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06e294c8190873116a3253e04f9 completed March 1, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69a49d1d79608190a849ba9ffad2879d completed March 1, 2026, 8:10 p.m.
PDg Predicate description generation batch_69a49df19c9481909cc9bc33ed7f011b completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.