Triple

T16964543
Position Surface form Disambiguated ID Type / Status
Subject Kannada people E411508 entity
Predicate culturalRegion P1968 FINISHED
Object Bayaluseeme E1102566 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: Bayaluseeme | Statement: [Kannada people, culturalRegion, Bayaluseeme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayaluseeme
Context triple: [Kannada people, culturalRegion, Bayaluseeme]
  • A. Bayaluseeme chosen
    Bayaluseeme is a dry, open plain region of the Indian state of Karnataka known for its semi-arid climate and distinctive plateau landscapes.
  • B. Gayan
    Gayan is a town in Afghanistan’s southeastern Paktika Province, known for its rural setting near the border with Pakistan.
  • C. Balisana
    Balisana is a village located in the Patan district of the Indian state of Gujarat.
  • D. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • E. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.