Triple

T13266475
Position Surface form Disambiguated ID Type / Status
Subject Dhanyawadi E315937 entity
Predicate culture P1114 FINISHED
Object Arakanese E304682 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: Arakanese | Statement: [Dhanyawadi, culture, Arakanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakanese
Context triple: [Dhanyawadi, culture, Arakanese]
  • 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. Rakhine language chosen
    The Rakhine language is an Eastern Indo-Aryan language closely related to Bengali, traditionally spoken by the Rakhine people of western Myanmar and neighboring regions.
  • C. Burmese
    Burmese is the official Sino-Tibetan language of Myanmar, spoken by the majority Bamar ethnic group and used widely in government, education, and media.
  • D. 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.
  • E. 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.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.