Triple

T23094230
Position Surface form Disambiguated ID Type / Status
Subject Bawm language E575839 entity
Predicate alternativeName P39 FINISHED
Object Bawmzo 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: Bawmzo | Statement: [Bawm language, alternativeName, Bawmzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bawmzo
Context triple: [Bawm language, alternativeName, Bawmzo]
  • A. Bawm chosen
    Bawm are an indigenous ethnic group of the Chittagong Hill Tracts in southeastern Bangladesh, known for their distinct Tibeto-Burman language and hill-farming culture.
  • B. Bamori
    Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
  • C. Zokhua
    Zokhua is a dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring regions.
  • D. Bawku
    Bawku is a town in northeastern Ghana known as a commercial hub near the country’s border with Burkina Faso.
  • E. Baigas
    The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de2ed088190971ff08c58b15aad completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.