Triple

T6970001
Position Surface form Disambiguated ID Type / Status
Subject Imperial Bank of India E161575 entity
Predicate operatedIn P40 FINISHED
Object Burma E7059 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: Burma | Statement: [Imperial Bank of India, operatedIn, Burma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burma
Context triple: [Imperial Bank of India, operatedIn, Burma]
  • A. Myanmar
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • B. Burma (until 1937) chosen
    Burma (until 1937) was a province administered as part of British India under British colonial rule before becoming a separately governed colony.
  • C. 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.
  • D. Birman
    Birman is a surname most notably associated with Joan S. Birman, an American mathematician recognized for her work in topology and braid theory.
  • E. Thailand
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.