Triple

T15442336
Position Surface form Disambiguated ID Type / Status
Subject Shoolini fair E369935 entity
Predicate region P40 FINISHED
Object Himachal Pradesh, India E15088 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: Himachal Pradesh, India | Statement: [Shoolini fair, region, Himachal Pradesh, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himachal Pradesh, India
Context triple: [Shoolini fair, region, Himachal Pradesh, India]
  • A. Himachal Pradesh chosen
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • B. Uttarakhand
    Uttarakhand is a northern Indian state in the Himalayas known for its sacred rivers, pilgrimage sites, and mountainous landscapes.
  • C. Una Himachal
    Una Himachal is a town in the Indian state of Himachal Pradesh known for its rail connectivity and proximity to the Punjab border.
  • D. Spiti Valley
    Spiti Valley is a high-altitude, cold desert valley in the Indian Himalayas known for its stark landscapes, Buddhist monasteries, and remote, sparsely populated villages.
  • E. Ladakh
    Ladakh is a high-altitude, sparsely populated region in northern India known for its rugged mountains, Buddhist culture, and strategic location bordering Tibet and the Karakoram range.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3293dc819097f9e56963c333ee completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:21 a.m.