Triple

T17730395
Position Surface form Disambiguated ID Type / Status
Subject Takelman languages E442569 entity
Predicate componentLanguageStatus P128782 FINISHED
Object Takelma has ISO 639-3 code 'tkm' — NE NERFINISHED

How this triple was built (4 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: Takelma has ISO 639-3 code 'tkm' | Statement: [Takelman languages, componentLanguageStatus, Takelma has ISO 639-3 code 'tkm']
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takelma has ISO 639-3 code 'tkm'
Context triple: [Takelman languages, componentLanguageStatus, Takelma has ISO 639-3 code 'tkm']
  • A. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • B. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • C. TAK
    TAK is the IATA airport code for Takamatsu Airport in Kagawa Prefecture, Japan.
  • D. TMK
    TMK is the abbreviation for the Kosovo Protection Corps, a civil emergency and disaster response organization that succeeded the Kosovo Liberation Army after the Kosovo War.
  • E. TMMK
    TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takelma has ISO 639-3 code 'tkm'
Target entity description: Takelma (ISO 639-3: tkm) is an extinct Native American language formerly spoken in southwestern Oregon by the Takelma people.
  • A. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • B. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • C. TAK
    TAK is the IATA airport code for Takamatsu Airport in Kagawa Prefecture, Japan.
  • D. TMK
    TMK is the abbreviation for the Kosovo Protection Corps, a civil emergency and disaster response organization that succeeded the Kosovo Liberation Army after the Kosovo War.
  • E. TMMK
    TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: componentLanguageStatus
Context triple: [Takelman languages, componentLanguageStatus, Takelma has ISO 639-3 code 'tkm']
  • A. hasLanguageStatus
    Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
  • B. languageStatusSource
    Indicates the source or authority from which the information about a language’s status is derived.
  • C. projectLanguageCode
    Indicates the programming or markup language used in a project, represented by its standardized language code.
  • D. officialLanguageStatusSharedWith
    Indicates that two entities share at least one official language in common.
  • E. componentNameLanguage
    Indicates that a component’s name is expressed or recorded in a specific language.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e5ba7c81908f8b06eb6859067f completed April 19, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69e3cde815e08190881972e2d80d151e completed April 18, 2026, 6:31 p.m.
PDg Predicate description generation batch_69e3d37ab6988190bd326ea6f8dd4aaa completed April 18, 2026, 6:54 p.m.
Created at: April 10, 2026, 10:08 a.m.