Triple

T304687
Position Surface form Disambiguated ID Type / Status
Subject British Malaya E6271 entity
Predicate locatedIn P40 FINISHED
Object Southeast Asia E8284 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: Southeast Asia | Statement: [British Malaya, locatedIn, Southeast Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southeast Asia
Context triple: [British Malaya, locatedIn, Southeast Asia]
  • A. Southeast Asia chosen
    Southeast Asia is a geographically and culturally diverse region of Asia comprising countries such as Thailand, Vietnam, Indonesia, and Malaysia, situated between the Indian and Pacific Oceans.
  • B. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • C. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • D. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • E. East Asia
    East Asia is a subregion of Asia encompassing countries such as China, Japan, and Korea, known for its dense populations, advanced economies, and influential cultures.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fa35988190851216c84ad63232 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.