Triple

T11630229
Position Surface form Disambiguated ID Type / Status
Subject Hausruckviertel E276376 entity
Predicate borders P224 FINISHED
Object Innviertel E282778 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: Innviertel | Statement: [Hausruckviertel, borders, Innviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innviertel
Context triple: [Hausruckviertel, borders, Innviertel]
  • A. Innviertel chosen
    Innviertel is a historical and cultural region in western Upper Austria known for its rural landscapes, Baroque architecture, and strong Bavarian influences.
  • B. Mühlviertel
    Mühlviertel is a rural, hilly region in northern Upper Austria known for its forests, granite landscapes, and traditional villages.
  • C. Waldviertel
    Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
  • D. Traunviertel
    Traunviertel is a historical and geographical region in southeastern Upper Austria, characterized by the Traun River, Alpine foothills, and a mix of industrial towns and rural landscapes.
  • E. Mostviertel
    Mostviertel is a picturesque region in southwestern Lower Austria known for its rolling hills, orchards, and traditional pear cider (Most) production.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87a20af481909b47775c7cb6ec3b completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.