Triple

T19272591
Position Surface form Disambiguated ID Type / Status
Subject Kashmiri Pandit homeland movement E481964 entity
Predicate framesIssueAs P42942 FINISHED
Object ethnic cleansing of Kashmiri Pandits LITERAL 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: ethnic cleansing of Kashmiri Pandits | Statement: [Kashmiri Pandit homeland movement, framesIssueAs, ethnic cleansing of Kashmiri Pandits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: framesIssueAs
Context triple: [Kashmiri Pandit homeland movement, framesIssueAs, ethnic cleansing of Kashmiri Pandits]
  • A. framesAs chosen
    Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
  • B. framesConflictAs
    Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
  • C. framesViewOf
    Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
  • D. frame
    Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
  • E. usesFrame
    Indicates that one entity employs, relies on, or is structured around a particular frame, framework, or reference structure provided by another entity.
  • F. None of above.

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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb9bd5881909d86c5def7770fdd completed April 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:29 p.m.