Triple

T10371027
Position Surface form Disambiguated ID Type / Status
Subject Ayeyarwady Region E244382 entity
Predicate hasPart P35 FINISHED
Object Pathein District E803100 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: Pathein District | Statement: [Ayeyarwady Region, hasPart, Pathein District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathein District
Context triple: [Ayeyarwady Region, hasPart, Pathein District]
  • A. Thayarwady District
    Thayarwady District is an administrative district in central Myanmar, located within the Bago Region.
  • B. 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.
  • C. Pathein chosen
    Pathein is a major city in Myanmar’s Ayeyarwady Region, known as a regional commercial hub and for its traditional handcrafted umbrellas.
  • D. Pyay District
    Pyay District is an administrative district in central Myanmar, located within the Bago Region and centered around the historic town of Pyay.
  • E. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.