Triple

T1965865
Position Surface form Disambiguated ID Type / Status
Subject Rangoon Arts and Science University E42685 entity
Predicate region P40 FINISHED
Object Yangon Region E177832 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 Region | Statement: [Rangoon Arts and Science University, region, Yangon Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangon Region
Context triple: [Rangoon Arts and Science University, region, Yangon Region]
  • A. Yangon Region chosen
    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.
  • B. Thandaunggyi area
    Thandaunggyi area is a culturally significant region in Myanmar’s Kayin (Karen) State known for its strong Karen ethnic heritage and traditions.
  • C. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • D. 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.
  • E. Arakan
    Arakan is a historical coastal region in western Myanmar, now largely corresponding to Rakhine State and known for its distinct ethnic and cultural identity.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aeb20081908b0d447d9fcdbaad completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acd9c3c8190a6f1140a7fac1627 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.