Triple

T22926527
Position Surface form Disambiguated ID Type / Status
Subject Esen Taishi E569323 entity
Predicate ethnicity P194 FINISHED
Object Oirat 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: Oirat | Statement: [Esen Taishi, ethnicity, Oirat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oirat
Context triple: [Esen Taishi, ethnicity, Oirat]
  • A. Oirats chosen
    The Oirats are a confederation of western Mongolic tribes historically known for their powerful nomadic states in Central Asia and significant role in regional politics and warfare.
  • B. Olgossa
    Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
  • C. Ikaalinen
    Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
  • D. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • E. Paasaal
    Paasaal is a dialect of the Sisaala language spoken by communities in northern Ghana and neighboring areas of West Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.