Triple

T20547220
Position Surface form Disambiguated ID Type / Status
Subject Sir Spencer Harcourt Butler E504499 entity
Predicate residence P75 FINISHED
Object Burma NE NERFINISHED

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: [Sir Spencer Harcourt Butler, residence, Burma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burma
Context triple: [Sir Spencer Harcourt Butler, residence, Burma]
  • A. Myanmar chosen
    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)
    Burma (until 1937) was a province administered as part of British India under British colonial rule before becoming a separately governed colony.
  • C. Thayarwady
    Thayarwady is a town in central Myanmar known as an administrative and commercial center within the Bago Region.
  • D. Myanmar and Thailand
    Myanmar and Thailand are neighboring Southeast Asian countries that share a long land border, diverse cultures, and significant historical, economic, and geographic ties.
  • E. Arakan
    Arakan is a rural municipality in the province of Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and scenic highland landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2991ac8819089b8c2d70eb88952 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.