Triple

T12501826
Position Surface form Disambiguated ID Type / Status
Subject Paternion E298844 entity
Predicate locatedInRegion P40 FINISHED
Object Southern Austria E476253 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: Southern Austria | Statement: [Paternion, locatedInRegion, Southern Austria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Austria
Context triple: [Paternion, locatedInRegion, Southern Austria]
  • A. southern Austria chosen
    Southern Austria is the region of Austria bordering Slovenia and Italy, characterized by Alpine landscapes, lakes, and a blend of Austrian and Slovene cultural influences.
  • B. Western Styria
    Western Styria is a subregion of the Austrian state of Styria, known for its hilly landscapes, vineyards, and traditional rural culture.
  • C. western Austria
    Western Austria is the mountainous, largely Alpine part of Austria that includes regions such as Tyrol and Vorarlberg, known for skiing, tourism, and scenic landscapes.
  • D. Eastern Styria
    Eastern Styria is a region in the eastern part of the Austrian state of Styria, known for its rolling hills, vineyards, and agricultural landscapes.
  • E. northern Austria
    Northern Austria is the upper part of the country of Austria, characterized by its proximity to the Czech border, rolling hills, and a mix of agricultural and industrial regions.
  • 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_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb38e048190bbc96244b71953b6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.