Triple

T13356670
Position Surface form Disambiguated ID Type / Status
Subject Kumaoni people E318710 entity
Predicate region P40 FINISHED
Object Ranikhet E325486 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: Ranikhet | Statement: [Kumaoni people, region, Ranikhet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranikhet
Context triple: [Kumaoni people, region, Ranikhet]
  • A. Ranikhet chosen
    Ranikhet is a hill station and cantonment town in the Kumaon region of Uttarakhand, India, known for its scenic Himalayan views and pleasant climate.
  • B. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • C. Darjeeling
    Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
  • D. Mussoorie
    Mussoorie is a popular hill station in the Indian state of Uttarakhand, known for its scenic Himalayan views, colonial-era architecture, and role as a major educational and administrative training hub.
  • E. Deoghar
    Deoghar is a prominent religious and cultural city in eastern India, renowned for the Baidyanath Jyotirlinga temple and its significance as a major Hindu pilgrimage center.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f754718a388190b4b85151a4694435 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:32 p.m.