Triple

T14282580
Position Surface form Disambiguated ID Type / Status
Subject Ne Win E354086 entity
Predicate placeOfDeath P21 FINISHED
Object 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: Yangon | Statement: [Ne Win, placeOfDeath, Yangon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangon
Context triple: [Ne Win, placeOfDeath, Yangon]
  • A. 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.
  • B. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • C. Lashio
    Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
  • D. Pathein
    Pathein is a major city in Myanmar’s Ayeyarwady Region, known as a regional commercial hub and for its traditional handcrafted umbrellas.
  • E. Taunggyi
    Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1884f481908ea266c1651c4b59 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.