Triple

T7743304
Position Surface form Disambiguated ID Type / Status
Subject Mon State E175561 entity
Predicate containsTown P847 FINISHED
Object Thanbyuzayat E307838 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: Thanbyuzayat | Statement: [Mon State, containsTown, Thanbyuzayat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanbyuzayat
Context triple: [Mon State, containsTown, Thanbyuzayat]
  • A. Thanbyuzayat chosen
    Thanbyuzayat is a town in southeastern Myanmar known historically as the western terminus of the World War II-era Burma Railway, also called the Death Railway.
  • B. Tazaungdaing
    Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • C. Thandwe
    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.
  • D. Ba Maw
    Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
  • E. Maung Wuntha
    Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70388d58081909aad2c03b4501e78 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.