Triple

T2525831
Position Surface form Disambiguated ID Type / Status
Subject Upper Burma E56032 entity
Predicate majorCity P316 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: [Upper Burma, majorCity, Myitkyina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myitkyina
Context triple: [Upper Burma, majorCity, 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. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Lashio
    Lashio is a key town in northern Myanmar that historically served as an important transport and trade hub, particularly during World War II as the inland gateway to the Burma Road.
  • D. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • E. Tuensang
    Tuensang is a town in northeastern India that serves as an important administrative and cultural center in the state of Nagaland.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2544b4481908e105294cebdbb1f completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6550c55481908fe4e8bab17aaa6d completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:46 p.m.