Triple

T23094229
Position Surface form Disambiguated ID Type / Status
Subject Bawm language E575839 entity
Predicate alternativeName P39 FINISHED
Object Bawm Chin 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: Bawm Chin | Statement: [Bawm language, alternativeName, Bawm Chin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bawm Chin
Context triple: [Bawm language, alternativeName, Bawm Chin]
  • 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. Maungdaw
    Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
  • C. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • D. Banmaw
    Banmaw, also known as Bhamo, is a strategic river port city in northern Myanmar’s Kachin State near the border with China.
  • E. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • 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.