Triple

T7400462
Position Surface form Disambiguated ID Type / Status
Subject Tai peoples E170733 entity
Predicate alsoPresentIn P6829 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: [Tai peoples, alsoPresentIn, South Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Asia
Context triple: [Tai peoples, alsoPresentIn, 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. Eastern South Asia
    Eastern South Asia is the eastern subregion of the South Asian subcontinent, generally encompassing Bangladesh, Bhutan, Nepal, and the eastern and northeastern parts of India.
  • 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. 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."
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810d9717c819099122cd64f9268fc completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:10 p.m.