Triple

T15876363
Position Surface form Disambiguated ID Type / Status
Subject Rakhine State E384961 entity
Predicate hasCity P316 FINISHED
Object Thandwe E304681 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: Thandwe | Statement: [Rakhine State, hasCity, Thandwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thandwe
Context triple: [Rakhine State, hasCity, Thandwe]
  • A. Thandwe chosen
    Thandwe is a coastal town in western Myanmar’s Rakhine State, historically known as Sandoway and serving as an important regional center near the popular Ngapali Beach.
  • B. Taungthu
    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. Maung Wuntha
    Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
  • E. Tanintharyi
    Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.