Triple

T11455497
Position Surface form Disambiguated ID Type / Status
Subject Gujjars E271515 entity
Predicate hasMajorPopulationIn P14328 FINISHED
Object Uttarakhand E30961 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: Uttarakhand | Statement: [Gujjars, hasMajorPopulationIn, Uttarakhand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uttarakhand
Context triple: [Gujjars, hasMajorPopulationIn, Uttarakhand]
  • A. Uttarakhand chosen
    Uttarakhand is a northern Indian state in the Himalayas known for its sacred rivers, pilgrimage sites, and mountainous landscapes.
  • B. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • C. Uttara-khanda
    Uttara-khanda is a major concluding section of the Garuda Purana that focuses on topics such as ethics, rituals, afterlife, and paths to liberation in Hindu tradition.
  • D. Sikkim
    Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
  • E. Garhwal
    Garhwal is a mountainous cultural region in the Indian Himalayas, known for its Garhwali heritage, pilgrimage sites, and scenic landscapes in present-day Uttarakhand.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684d1bcd08190925cc9a2e844c900 completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:35 p.m.