Triple

T9542392
Position Surface form Disambiguated ID Type / Status
Subject Teke E230188 entity
Predicate neighboringTribes P11274 FINISHED
Object Yomut E230189 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: Yomut | Statement: [Teke, neighboringTribes, Yomut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yomut
Context triple: [Teke, neighboringTribes, Yomut]
  • A. Yomut chosen
    Yomut is a major Turkmen tribal group historically known for its semi-nomadic lifestyle, distinctive weaving traditions, and significant role in the cultural and political history of Turkmenistan and surrounding regions.
  • B. Yomitan
    Yomitan is a coastal village in central Okinawa, Japan, known for its historic sites, traditional Ryukyuan culture, and scenic beaches.
  • C. Yorta
    Yorta is a dialect of the Yorta Yorta Aboriginal language traditionally spoken by the Yorta Yorta people of southeastern Australia.
  • D. Kutiyana
    Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
  • E. Yagon
    Yagon is a coastal camping and recreation area within New South Wales’ Myall Lakes National Park, known for its beaches, dunes, and bushland setting.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e82bb08190aed3ed0627923d22 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6538b08190a9f81304214a876d completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.