Triple

T17844336
Position Surface form Disambiguated ID Type / Status
Subject Frigidus River E445616 entity
Predicate flowsThrough P225 FINISHED
Object Vipava Valley 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: Vipava Valley | Statement: [Frigidus River, flowsThrough, Vipava Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vipava Valley
Context triple: [Frigidus River, flowsThrough, Vipava Valley]
  • A. Vipava Valley chosen
    Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
  • B. Soča Valley
    The Soča Valley is a picturesque alpine valley in western Slovenia, renowned for its emerald-green Soča River, outdoor sports, and World War I history.
  • C. Bohinj Valley
    Bohinj Valley is a picturesque alpine valley in northwestern Slovenia, renowned for its unspoiled nature, traditional villages, and the glacial Lake Bohinj at its heart.
  • D. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • E. Vipava
    Vipava is a small Slovenian town known for its picturesque wine-growing valley, numerous springs, and historic architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.