Triple

T10371038
Position Surface form Disambiguated ID Type / Status
Subject Ayeyarwady Region E244382 entity
Predicate contains P35 FINISHED
Object Pyapon E860735 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: Pyapon | Statement: [Ayeyarwady Region, contains, Pyapon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyapon
Context triple: [Ayeyarwady Region, contains, Pyapon]
  • A. Pyapon District chosen
    Pyapon District is an administrative district in Myanmar known for its deltaic landscape and rice-growing communities within the Ayeyarwady Region.
  • B. 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.
  • C. Thayarwady
    Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
  • D. Magway
    Magway is a city in central Myanmar situated on the Irrawaddy River, known as an administrative, commercial, and agricultural hub of the surrounding region.
  • E. Ta’ang
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • 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_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:01 p.m.