Triple

T30496108
Position Surface form Disambiguated ID Type / Status
Subject Koma Civakên Kurdistan E776009 entity
Predicate claimsToReject P180051 FINISHED
Object nation-state model 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: nation-state model | Statement: [Koma Civakên Kurdistan, claimsToReject, nation-state model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: claimsToReject
Context triple: [Koma Civakên Kurdistan, claimsToReject, nation-state model]
  • A. claimsToEliminate
    Indicates that one entity asserts it will remove, eradicate, or put an end to another entity or condition.
  • B. claimsToMark
    Indicates that one entity asserts or alleges that it has marked, labeled, or designated another entity in some specified way.
  • C. claimsToBe
    Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
  • D. rejectedClaim
    Indicates that one party has refused to accept, approve, or validate a claim made by another party.
  • E. claimsToSeparate
    Indicates that one entity asserts or promises that it will divide, detach, or distinguish one thing from another.
  • F. None of above. chosen

Provenance (4 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_69f22498c5d481908aaea89e6fab8280 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
PDg Predicate description generation batch_69f730890a008190a882f7828f1c9162 completed May 3, 2026, 11:24 a.m.
Created at: April 29, 2026, 8:14 p.m.