Triple

T32964483
Position Surface form Disambiguated ID Type / Status
Subject Leibinger-Preis der Deutschen Akademie für Sprache und Dichtung E843331 entity
Predicate vergebenVon P104875 FINISHED
Object Deutsche Akademie für Sprache und Dichtung NE NERFINISHED

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: Deutsche Akademie für Sprache und Dichtung | Statement: [Leibinger-Preis der Deutschen Akademie für Sprache und Dichtung, vergebenVon, Deutsche Akademie für Sprache und Dichtung]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vergebenVon
Context triple: [Leibinger-Preis der Deutschen Akademie für Sprache und Dichtung, vergebenVon, Deutsche Akademie für Sprache und Dichtung]
  • A. awardedFrom chosen
    Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
  • B. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • C. allottedBy
    Indicates that something has been assigned, distributed, or allocated by a particular agent or authority.
  • D. grantRecipient
    Indicates that one entity is the recipient or beneficiary of a grant provided by another entity.
  • E. wardedOffBy
    Indicates that an action, effect, or threat is prevented, repelled, or neutralized by another entity or intervention.
  • 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_69f3494af2808190ad98cec2f1bc0fe6 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d17c712481909167630ecab98f43 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:21 a.m.