Triple

T16955437
Position Surface form Disambiguated ID Type / Status
Subject Padum E411288 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: [Padum, 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: [Padum, 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. Naypyidaw Union Territory
    Naypyidaw Union Territory is the administrative region in central Myanmar that encompasses the country’s purpose-built capital city, Naypyidaw.
  • E. Uttarakhand
    Uttarakhand is a northern Indian state in the Himalayas known for its sacred rivers, pilgrimage sites, and mountainous landscapes.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eccd1e48190aa0dc64562d6ff1f completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:31 a.m.