Triple

T9126815
Position Surface form Disambiguated ID Type / Status
Subject Sittwe E218985 entity
Predicate formerName P65 FINISHED
Object Akyab E218985 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: Akyab | Statement: [Sittwe, formerName, Akyab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akyab
Context triple: [Sittwe, formerName, Akyab]
  • A. Sittwe chosen
    Sittwe is a coastal city in western Myanmar that has been a focal point of political unrest and ethnic tensions, including major protests during the Saffron Revolution.
  • 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. Moulamein
    Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
  • D. Shwebo
    Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
  • E. Kyaukphyu
    Kyaukphyu is a coastal town in western Myanmar that serves as a strategic deep-water port and hub for regional trade and energy projects.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8c93d3c8190b003b2b1af2003b2 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047cf8f408190bfffadb803cb4513 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:18 p.m.