Triple

T655217
Position Surface form Disambiguated ID Type / Status
Subject Myanmar E11632 entity
Predicate ethnicGroup P194 FINISHED
Object Rohingya E79605 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: Rohingya | Statement: [Myanmar, ethnicGroup, Rohingya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rohingya
Context triple: [Myanmar, ethnicGroup, Rohingya]
  • A. Rohingya chosen
    The Rohingya are a predominantly Muslim ethnic minority from Myanmar’s Rakhine State, known globally for facing severe persecution and statelessness.
  • B. Bamar
    The Bamar are the largest ethnic group in Myanmar, historically dominant in the country’s politics, culture, and language.
  • C. Hazaras
    Hazaras are an ethnic group primarily from central Afghanistan, distinguished by their Mongol-influenced ancestry, Shia Muslim majority, and use of Persian (Hazaragi) as their main language.
  • D. Muhajir people
    The Muhajir people are an Urdu-speaking Muslim community in Pakistan, primarily descended from migrants who moved from various regions of India to urban centers like Karachi after the 1947 Partition.
  • E. Lhotshampa
    Lhotshampa are a Nepali-speaking ethnic community of southern Bhutan, many of whom have faced displacement and statelessness due to Bhutanese government policies in the late 20th century.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc95ec20819082117e90f032d381 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.