Triple

T1938891
Position Surface form Disambiguated ID Type / Status
Subject Mon-Khmer E41506 entity
Predicate region P40 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: [Mon-Khmer, region, South Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Asia
Context triple: [Mon-Khmer, region, 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 a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • C. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • D. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • E. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c8be648190836580cec77a143f completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb2cc988190a4046c17c8389996 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.