Triple

T9487437
Position Surface form Disambiguated ID Type / Status
Subject Ybbs E228796 entity
Predicate region P40 FINISHED
Object Mostviertel E228789 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: Mostviertel | Statement: [Ybbs, region, Mostviertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mostviertel
Context triple: [Ybbs, region, Mostviertel]
  • A. Mostviertel chosen
    Mostviertel is a picturesque region in southwestern Lower Austria known for its rolling hills, orchards, and traditional pear cider (Most) production.
  • B. Innviertel
    Innviertel is a historical and cultural region in western Upper Austria known for its rural landscapes, Baroque architecture, and strong Bavarian influences.
  • C. Lichtensteig
    Lichtensteig is a small historic town in the canton of St. Gallen in northeastern Switzerland, known for its well-preserved old town and picturesque setting in the Toggenburg region.
  • D. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • E. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.