Triple

T37774901
Position Surface form Disambiguated ID Type / Status
Subject Kościelski Award E941657 entity
Predicate mainlyAwardedFor P41228 FINISHED
Object contemporary Polish literature 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: contemporary Polish literature | Statement: [Kościelski Award, mainlyAwardedFor, contemporary Polish literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainlyAwardedFor
Context triple: [Kościelski Award, mainlyAwardedFor, contemporary Polish literature]
  • A. notableAwardedFor chosen
    Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
  • B. acclaimedFor
    Indicates that an entity receives widespread praise or recognition specifically for another entity, such as a work, achievement, or contribution.
  • C. celebratedAs
    Indicates that one entity is regarded, honored, or widely recognized as having a particular role, status, or distinction.
  • D. fameFor
    Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
  • E. madeInternationallyFamousBy
    Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of 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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.