Triple

T10611544
Position Surface form Disambiguated ID Type / Status
Subject Ava E276019 entity
Predicate locatedIn P40 FINISHED
Object Mandalay Region E239251 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: Mandalay Region | Statement: [Ava, locatedIn, Mandalay Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandalay Region
Context triple: [Ava, locatedIn, Mandalay Region]
  • A. Mandalay Region chosen
    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.
  • B. Magway Region
    Magway Region is a central administrative division of Myanmar known for its dry zone climate, agriculture, and location along the Irrawaddy River.
  • 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. Magway District
    Magway District is an administrative district in central Myanmar, located within Magway Region and known for its agricultural activities and oil fields.
  • E. Tanintharyi Region
    Tanintharyi Region is a coastal administrative division in southern Myanmar, known for its long Andaman Sea shoreline, rich natural resources, and strategic location bordering Thailand.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a2c8a048190b9a62f1c68ac217a completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 7:33 p.m.