Triple

T4450885
Position Surface form Disambiguated ID Type / Status
Subject Orhan Kemal Novel Prize E97604 entity
Predicate languageOfAwardedWork P17914 FINISHED
Object Turkish 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: Turkish | Statement: [Orhan Kemal Novel Prize, languageOfAwardedWork, Turkish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfAwardedWork
Context triple: [Orhan Kemal Novel Prize, languageOfAwardedWork, Turkish]
  • A. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • B. languageOfWritings chosen
    Indicates that a specified language is the one in which certain writings or written works are composed.
  • C. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • D. awardNameLanguage
    Indicates the language in which the name of an award is expressed.
  • E. languageOfPoliticalWork
    Indicates the language in which a political work (such as a document, speech, or publication) is expressed or written.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f2377c8190b0176b4c6776815e completed March 13, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69b34f649df081909d3cc2f6a1b8f282 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:33 p.m.