Triple

T20429561
Position Surface form Disambiguated ID Type / Status
Subject Kabini River E501092 entity
Predicate passesNear P416 FINISHED
Object Heggadadevanakote NE NERFINISHED

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: Heggadadevanakote | Statement: [Kabini River, passesNear, Heggadadevanakote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heggadadevanakote
Context triple: [Kabini River, passesNear, Heggadadevanakote]
  • A. Heggadadevanakote chosen
    Heggadadevanakote is a town in Karnataka, India, known for its proximity to the Kabini River, wildlife reserves, and rich rural landscapes.
  • B. Kanooru Heggadithi
    Kanooru Heggadithi is a landmark Kannada novel by the writer Kuvempu, celebrated for its rich portrayal of rural life and complex social dynamics in Karnataka.
  • C. Nanjangud
    Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
  • D. Devanahalli
    Devanahalli is a town near Bengaluru in the Indian state of Karnataka, notable for its rapid development and proximity to Kempegowda International Airport.
  • E. Bhadravan
    Bhadravan is one of the twelve sacred forests of Vraja associated with the pastimes of Lord Krishna in Hindu tradition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.