Triple

T13321206
Position Surface form Disambiguated ID Type / Status
Subject Mysuru district E317318 entity
Predicate contains P35 FINISHED
Object Heggadadevanakote E327004 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: Heggadadevanakote | Statement: [Mysuru district, contains, Heggadadevanakote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heggadadevanakote
Context triple: [Mysuru district, contains, 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 (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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73061e90c81909badb0cd12b304a2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:30 p.m.