Triple

T11820083
Position Surface form Disambiguated ID Type / Status
Subject Leh E281102 entity
Predicate formerPartOf P5057 FINISHED
Object Jammu and Kashmir state E15687 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: Jammu and Kashmir state | Statement: [Leh, formerPartOf, Jammu and Kashmir state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jammu and Kashmir state
Context triple: [Leh, formerPartOf, Jammu and Kashmir state]
  • A. Jammu and Kashmir chosen
    Jammu and Kashmir is a northern region of the Indian subcontinent known for its mountainous terrain, strategic location, and long-standing political and territorial disputes.
  • B. Azad Jammu and Kashmir
    Azad Jammu and Kashmir is a self-governing administrative territory under Pakistani control in the disputed Kashmir region.
  • C. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • D. Uttarakhand
    Uttarakhand is a northern Indian state in the Himalayas known for its sacred rivers, pilgrimage sites, and mountainous landscapes.
  • E. Kashmir
    Kashmir is a disputed Himalayan region administered in parts by India, Pakistan, and China, renowned for its natural beauty and central to longstanding geopolitical tensions in South Asia.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7cc0808190875d36fe978e4326 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:42 p.m.