Triple

T2638954
Position Surface form Disambiguated ID Type / Status
Subject Siege of Myitkyina E62817 entity
Predicate location P40 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: [Siege of Myitkyina, location, Myitkyina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myitkyina
Context triple: [Siege of Myitkyina, location, 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. Amarapura
    Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
  • E. Tanintharyi
    Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
Created at: March 6, 2026, 9:53 p.m.