Triple

T1965792
Position Surface form Disambiguated ID Type / Status
Subject Yangon E42684 entity
Predicate formerCapitalOf P3417 FINISHED
Object Myanmar E11632 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: Myanmar | Statement: [Yangon, formerCapitalOf, Myanmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myanmar
Context triple: [Yangon, formerCapitalOf, Myanmar]
  • A. Myanmar chosen
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • B. Burma (until 1937)
    Burma (until 1937) was a province administered as part of British India under British colonial rule before becoming a separately governed colony.
  • C. Thailand
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • D. Arakan
    Arakan is a historical coastal region in western Myanmar, now largely corresponding to Rakhine State and known for its distinct ethnic and cultural identity.
  • E. Laos
    Laos is a landlocked Southeast Asian country known for its mountainous terrain, Buddhist culture, and status as one of the region’s least developed but rapidly reforming economies.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aeb20081908b0d447d9fcdbaad completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acd9c3c8190a6f1140a7fac1627 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.