Triple

T9125078
Position Surface form Disambiguated ID Type / Status
Subject Bama E218949 entity
Predicate exonym P4705 FINISHED
Object Burman 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: Burman | Statement: [Bama, exonym, Burman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burman
Context triple: [Bama, exonym, Burman]
  • A. Birman
    Birman is a surname most notably associated with Joan S. Birman, an American mathematician recognized for her work in topology and braid theory.
  • B. 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.
  • C. 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.
  • 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. Karenni
    Karenni are an ethnic group from eastern Myanmar (Burma), particularly associated with Kayah State, known for their distinct languages, culture, and history of political autonomy movements.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047c55a988190bf2dd63a0d0a2743 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:17 p.m.