Triple

T7815311
Position Surface form Disambiguated ID Type / Status
Subject Maung Wuntha E180991 entity
Predicate languageOfWorkOrName P15 FINISHED
Object Burmese E72108 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: Burmese | Statement: [Maung Wuntha, languageOfWorkOrName, Burmese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burmese
Context triple: [Maung Wuntha, languageOfWorkOrName, Burmese]
  • A. Burmese chosen
    Burmese is the official Sino-Tibetan language of Myanmar, spoken by the majority Bamar ethnic group and used widely in government, education, and media.
  • B. Lolo-Burmese
    Lolo-Burmese is a major branch of the Sino-Tibetan language family that includes Burmese and numerous related languages spoken primarily in Myanmar and southwestern China.
  • C. Birman
    Birman is a surname most notably associated with Joan S. Birman, an American mathematician recognized for her work in topology and braid theory.
  • D. Intha Burmese
    Intha Burmese is a regional variety of the Burmese language spoken primarily by the Intha people around Inle Lake in Myanmar.
  • E. Burmese script
    The Burmese script is an abugida used for writing the Burmese language and several other languages of Myanmar, characterized by its rounded letters and Indic origins.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.