Triple

T1187809
Position Surface form Disambiguated ID Type / Status
Subject Southern Bantu E25286 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Swati E58238 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: Swati | Statement: [Southern Bantu, hasMemberLanguage, Swati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swati
Context triple: [Southern Bantu, hasMemberLanguage, Swati]
  • A. Swati chosen
    Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
  • B. Sarayu
    Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
  • C. Amravati
    Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
  • D. Indravati
    Indravati is a significant river in central India that flows through states like Chhattisgarh and Odisha before joining the Godavari River.
  • E. Narmada
    Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd568cf481908d10cf19a3ce28f3 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae30355a548190af3f858170b9b82c completed March 9, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:45 p.m.