Triple

T9126013
Position Surface form Disambiguated ID Type / Status
Subject Kamayut Township E218968 entity
Predicate cityDistrict P2709 FINISHED
Object Western Yangon E42684 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: Western Yangon | Statement: [Kamayut Township, cityDistrict, Western Yangon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Yangon
Context triple: [Kamayut Township, cityDistrict, Western Yangon]
  • A. UM2 Yangon
    UM2 Yangon is a major public medical university in Yangon, Myanmar, specializing in training physicians and conducting medical research.
  • B. Yangon chosen
    Yangon is Myanmar’s largest city and former capital, known as a major commercial hub featuring a mix of colonial architecture and prominent Buddhist landmarks like the Shwedagon Pagoda.
  • C. Yangon Region
    Yangon Region is a key administrative division in southern Myanmar that encompasses the country’s largest city, Yangon, and serves as its main commercial and educational hub.
  • D. Mandalay Region
    Mandalay Region is a central administrative division of Myanmar known for its cultural heritage, historic cities, and role as a major economic and transportation hub.
  • E. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047c55a988190bf2dd63a0d0a2743 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:17 p.m.