Triple

T12509301
Position Surface form Disambiguated ID Type / Status
Subject Jakob Hutter E299031 entity
Predicate ethnicGroup P194 FINISHED
Object Tyrolean E17273 NE 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: Tyrolean | Statement: [Jakob Hutter, ethnicGroup, Tyrolean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrolean
Context triple: [Jakob Hutter, ethnicGroup, Tyrolean]
  • A. Österreichisch-Weiß
    Österreichisch-Weiß is a historical Central European white grape variety known primarily as one of the parent grapes of Silvaner.
  • B. Western Tyrol
    Western Tyrol is a mountainous region in western Austria known for its high Alpine peaks, including the Wildspitze, and popular ski and hiking areas.
  • C. AUSTRIAN
    AUSTRIAN is the radio callsign used by Austrian Airlines, the flag carrier airline of Austria.
  • D. Ladin language
    Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
  • E. Austro-Bavarian German chosen
    Austro-Bavarian German is a major Upper German dialect group spoken primarily in Austria and parts of Bavaria and South Tyrol, characterized by distinct phonology, vocabulary, and regional varieties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb94d608190aae4c8ec39556362 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.