Triple

T14282541
Position Surface form Disambiguated ID Type / Status
Subject Wakema E354085 entity
Predicate partOf P40 FINISHED
Object Myaungmya District E863644 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: Myaungmya District | Statement: [Wakema, partOf, Myaungmya District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myaungmya District
Context triple: [Wakema, partOf, Myaungmya District]
  • A. Myaungmya District chosen
    Myaungmya District is an administrative district in southwestern Myanmar, located within the Ayeyarwady Delta and known for its rice cultivation and riverine landscape.
  • B. Myingyan District
    Myingyan District is an administrative district in central Myanmar’s Mandalay Region, known for its location along the Irrawaddy River and its role as an agricultural and transport hub.
  • C. Thayarwady District
    Thayarwady District is an administrative district in central Myanmar, located within the Bago Region.
  • D. Lashio District
    Lashio District is an administrative district in northern Shan State, Myanmar, centered around the town of Lashio as its principal urban and economic hub.
  • E. Magway District
    Magway District is an administrative district in central Myanmar, located within Magway Region and known for its agricultural activities and oil fields.
  • 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_69fd3272c11c819091b1ffbfa1ee7457 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.