Triple

T32681963
Position Surface form Disambiguated ID Type / Status
Subject Kremstal E835609 entity
Predicate DACFor P174786 FINISHED
Object Grüner Veltliner 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: Grüner Veltliner | Statement: [Kremstal, DACFor, Grüner Veltliner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: DACFor
Context triple: [Kremstal, DACFor, Grüner Veltliner]
  • A. dacType
    Indicates that one entity is classified as a specific type or category of DAC (Digital-to-Analog Converter) in relation to another entity.
  • B. hasDAC
    Indicates that an entity includes, uses, or is equipped with a Digital-to-Analog Converter (DAC) component.
  • C. DACStatus
    Indicates the current state or condition of a digital-to-analog converter (DAC) in relation to its operation or performance.
  • D. FPU
    Indicates that one entity functions as or contains a floating-point unit responsible for performing arithmetic operations on non-integer (floating-point) numbers for another entity or within a system.
  • E. hasInternalDACResolution
    Indicates that an entity is associated with a specific internal digital-to-analog converter (DAC) resolution setting or value.
  • 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_69f3493211388190993801216afbc2a7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7e92f38819084db3081ae5de9ec completed May 3, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69f6c3f617c08190a70ba880210f908c completed May 3, 2026, 3:41 a.m.
PDg Predicate description generation batch_69f6c77500a08190b2bdeca33bd2ac08 completed May 3, 2026, 3:56 a.m.
Created at: May 1, 2026, 1:09 a.m.