Triple

T5087195
Position Surface form Disambiguated ID Type / Status
Subject Abhinavabhāratī E114664 entity
Predicate regionOfInfluence P2828 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: [Abhinavabhāratī, regionOfInfluence, South Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Asia
Context triple: [Abhinavabhāratī, regionOfInfluence, 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd751fb6dc8190be674c92a17e8c0e completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba72a7b88190a118ff5f31079eff completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.