Triple

T2973234
Position Surface form Disambiguated ID Type / Status
Subject Karen State E80330 entity
Predicate hasMajorTown P316 FINISHED
Object Myawaddy E173880 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: Myawaddy | Statement: [Karen State, hasMajorTown, Myawaddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myawaddy
Context triple: [Karen State, hasMajorTown, Myawaddy]
  • A. Myawaddy chosen
    Myawaddy is a key Myanmar border town in Kayin State, situated across the Moei River from Thailand’s Mae Sot and serving as a major hub for cross-border trade and travel.
  • B. Chindwin River
    The Chindwin River is a major river in northwestern Myanmar that flows through remote, forested regions before joining the Irrawaddy.
  • C. Irrawaddy River
    The Irrawaddy River is Myanmar’s largest and most important waterway, serving as a vital transport route and lifeline for agriculture, fisheries, and riverine communities from the north to the Andaman Sea.
  • D. Hlaing River
    The Hlaing River is a major waterway in Myanmar that flows through the city of Yangon and plays a key role in its transport and commerce.
  • E. Yangon River
    The Yangon River is a major waterway in southern Myanmar that flows past the city of Yangon before emptying into the Gulf of Martaban.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e27863881909c1c4b26e030e4bf completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.