Triple

T22934926
Position Surface form Disambiguated ID Type / Status
Subject Indochina dry forests E569554 entity
Predicate locatedInCountry P40 FINISHED
Object Myanmar NE NERFINISHED

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: [Indochina dry forests, locatedInCountry, Myanmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myanmar
Context triple: [Indochina dry forests, locatedInCountry, 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. Myanmar and Thailand
    Myanmar and Thailand are neighboring Southeast Asian countries that share a long land border, diverse cultures, and significant historical, economic, and geographic ties.
  • D. Thayarwady
    Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
  • E. India and Myanmar
    India and Myanmar are neighboring South and Southeast Asian countries that share a long, culturally diverse land border shaped by mountainous terrain and historical trade routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.