Triple

T196366
Position Surface form Disambiguated ID Type / Status
Subject East Asia E3827 entity
Predicate bordersRegion P224 FINISHED
Object South Asia E6055 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: South Asia | Statement: [East Asia, bordersRegion, South Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Asia
Context triple: [East Asia, bordersRegion, South Asia]
  • A. South Asia chosen
    South Asia is a culturally and linguistically diverse region of the Asian continent that includes countries such as India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, and the Maldives.
  • 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-Pacific
    Asia-Pacific is a vast geopolitical and economic region encompassing East Asia, Southeast Asia, Oceania, and surrounding Pacific areas, known for its dynamic economies and strategic global importance.
  • D. Southeast Asia
    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.
  • E. North Asia
    North Asia is the vast, sparsely populated northern part of the Asian continent, dominated by Siberia and characterized by its cold climate and extensive forests and tundra.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25bc96aa081908ef74c9827c9aa48 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36958f6488190872ccf3c318a3cfa completed Feb. 28, 2026, 10:16 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.