Triple

T11806384
Position Surface form Disambiguated ID Type / Status
Subject Southern Myanmar E280755 entity
Predicate language 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: [Southern Myanmar, language, Burmese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burmese
Context triple: [Southern Myanmar, language, 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. Chinese Burmese
    Chinese Burmese are an ethnic group in Myanmar descended from Chinese migrants, blending Chinese heritage with Burmese culture and society.
  • E. Intha Burmese
    Intha Burmese is a regional variety of the Burmese language spoken primarily by the Intha people around Inle Lake in Myanmar.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.