Triple

T15933965
Position Surface form Disambiguated ID Type / Status
Subject Kalaw E386391 entity
Predicate hasEthnicCommunities P1898 FINISHED
Object Taung Yo E990793 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: Taung Yo | Statement: [Kalaw, hasEthnicCommunities, Taung Yo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taung Yo
Context triple: [Kalaw, hasEthnicCommunities, Taung Yo]
  • A. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • B. Taungthu chosen
    Taungthu refers to the Pa'O people, an ethnic minority group in Myanmar known for their distinct traditional dress and agricultural lifestyle in the Shan and Kayin States.
  • C. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • D. Mogaung
    Mogaung is a town in northern Myanmar notable as a local administrative and transport center within Kachin State.
  • E. Maungdaw
    Maungdaw is a town in Myanmar’s Rakhine State near the border with Bangladesh, known for its ethnically diverse population and its role in regional trade and migration.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf14ab088190b1d2f1f6b18bf85d completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:53 a.m.