Triple

T20936934
Position Surface form Disambiguated ID Type / Status
Subject Kalahandi district E515609 entity
Predicate hasProtectedArea P855 FINISHED
Object Karlapat Wildlife Sanctuary NE NERFINISHED

How this triple was built (3 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: Karlapat Wildlife Sanctuary | Statement: [Kalahandi district, hasProtectedArea, Karlapat Wildlife Sanctuary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlapat Wildlife Sanctuary
Context triple: [Kalahandi district, hasProtectedArea, Karlapat Wildlife Sanctuary]
  • A. Ratapani Wildlife Sanctuary
    Ratapani Wildlife Sanctuary is a protected forest area in Madhya Pradesh, India, known for its rich biodiversity, including tigers and other wildlife, as well as its scenic hills and reservoirs.
  • B. Pushpagiri Wildlife Sanctuary
    Pushpagiri Wildlife Sanctuary is a protected forest and wildlife reserve in the Western Ghats of Karnataka, India, known for its rich biodiversity, dense evergreen forests, and popular trekking routes.
  • C. Kalesar Wildlife Sanctuary
    Kalesar Wildlife Sanctuary is a protected forest and wildlife reserve in Haryana, India, known for its dense sal forests, rich biodiversity, and populations of leopards, elephants, and numerous bird species.
  • D. Senchal Wildlife Sanctuary
    Senchal Wildlife Sanctuary is a protected forest and wildlife area near Darjeeling in West Bengal, India, known for its rich biodiversity, high-altitude habitats, and role in conserving Himalayan flora and fauna.
  • E. Pania Wildlife Sanctuary
    Pania Wildlife Sanctuary is a protected forest area in Gujarat, India, known as part of the habitat range for the endangered Asiatic lion.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karlapat Wildlife Sanctuary
Target entity description: Karlapat Wildlife Sanctuary is a protected forest and wildlife reserve in Odisha, India, known for its rich biodiversity, waterfalls, and populations of elephants and other native fauna.
  • A. Ratapani Wildlife Sanctuary
    Ratapani Wildlife Sanctuary is a protected forest area in Madhya Pradesh, India, known for its rich biodiversity, including tigers and other wildlife, as well as its scenic hills and reservoirs.
  • B. Pushpagiri Wildlife Sanctuary
    Pushpagiri Wildlife Sanctuary is a protected forest and wildlife reserve in the Western Ghats of Karnataka, India, known for its rich biodiversity, dense evergreen forests, and popular trekking routes.
  • C. Kalesar Wildlife Sanctuary
    Kalesar Wildlife Sanctuary is a protected forest and wildlife reserve in Haryana, India, known for its dense sal forests, rich biodiversity, and populations of leopards, elephants, and numerous bird species.
  • D. Senchal Wildlife Sanctuary
    Senchal Wildlife Sanctuary is a protected forest and wildlife area near Darjeeling in West Bengal, India, known for its rich biodiversity, high-altitude habitats, and role in conserving Himalayan flora and fauna.
  • E. Pania Wildlife Sanctuary
    Pania Wildlife Sanctuary is a protected forest area in Gujarat, India, known as part of the habitat range for the endangered Asiatic lion.
  • F. None of above. chosen

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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f9527004819082b72bf15e3c6419 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.