Triple

T38346042
Position Surface form Disambiguated ID Type / Status
Subject Turkmenistan Airlines E1041542 entity
Predicate hasOfficialLanguageOnServices P192896 FINISHED
Object Turkmen NE NERFINISHED

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: Turkmen | Statement: [Turkmenistan Airlines, hasOfficialLanguageOnServices, Turkmen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialLanguageOnServices
Context triple: [Turkmenistan Airlines, hasOfficialLanguageOnServices, Turkmen]
  • A. hasOfficialLanguageOfWork
    Indicates that an entity uses a specified language as its official medium for conducting work or formal activities.
  • B. hasOfficialCountryLanguage
    Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
  • C. usesOfficialLanguageOf
    Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
  • D. hasOfficialLanguageOfLocation
    Indicates that a location has a specified language recognized as its official language.
  • E. hasOfficialLanguagePolicy
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • 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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
PDg Predicate description generation batch_69fd2cf29f808190856ab1d43a51d5c7 completed May 8, 2026, 12:23 a.m.
Created at: May 3, 2026, 4:30 p.m.