Triple

T2956033
Position Surface form Disambiguated ID Type / Status
Subject Teke dialect E79932 entity
Predicate region P40 FINISHED
Object Ahal Region E309109 NE 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: Ahal Region | Statement: [Teke dialect, region, Ahal Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahal Region
Context triple: [Teke dialect, region, Ahal Region]
  • A. Ahal Region chosen
    Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
  • B. Lebap Region
    Lebap Region is an administrative province in eastern Turkmenistan known for its major city Turkmenabat and its location along the Amu Darya River.
  • C. Nimruz Province
    Nimruz Province is a sparsely populated, largely desert region in southwestern Afghanistan bordering Iran and Pakistan, known for its strategic location along key trade and smuggling routes.
  • D. Hawraman region
    The Hawraman region is a mountainous area in the Kurdistan borderlands of Iran and Iraq, known for its distinct Hawrami (Gorani) Kurdish culture, language, and terraced stone villages.
  • E. Serugh region
    The Serugh region is a historical area in Upper Mesopotamia, associated with early Syriac Christianity and figures such as the theologian Jacob of Serugh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:57 p.m.