Triple

T13266496
Position Surface form Disambiguated ID Type / Status
Subject Kachin State E315938 entity
Predicate largestCity P235 FINISHED
Object Myitkyina E239254 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: Myitkyina | Statement: [Kachin State, largestCity, Myitkyina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myitkyina
Context triple: [Kachin State, largestCity, Myitkyina]
  • A. Myitkyina chosen
    Myitkyina is the capital of Kachin State in northern Myanmar, known as a key regional center and transport hub near the upper reaches of the Irrawaddy River.
  • B. Kengtung
    Kengtung is a historic town in eastern Myanmar’s Shan State, known as a cultural center of the Tai ethnic groups and a gateway to the Golden Triangle region.
  • C. Myingyan
    Myingyan is a town in central Myanmar known as a commercial and transport hub along the Irrawaddy River in the Mandalay Region.
  • D. Mawlamyine
    Mawlamyine is a coastal city in southeastern Myanmar and the capital of Mon State, known historically as an important port and cultural center.
  • E. Taunggyi
    Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cd8c2c8190a28d901fde98dc26 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.