Triple

T16387197
Position Surface form Disambiguated ID Type / Status
Subject Vipava River E397953 entity
Predicate flowsThrough P225 FINISHED
Object Vipava E1175845 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: Vipava | Statement: [Vipava River, flowsThrough, Vipava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vipava
Context triple: [Vipava River, flowsThrough, Vipava]
  • A. Vipava chosen
    Vipava is a small Slovenian town known for its picturesque wine-growing valley, numerous springs, and historic architecture.
  • B. Vipava River
    The Vipava River is a short but significant river in western Slovenia and northeastern Italy, known for flowing through the Vipava Valley and contributing to the region’s mild climate and viticulture.
  • C. Sava Dolinka
    Sava Dolinka is a river in northwestern Slovenia that forms one of the two headwaters of the Sava, the longest river in the country.
  • D. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • E. Sava Bohinjka River
    The Sava Bohinjka River is a picturesque alpine river in northwestern Slovenia that forms one of the two headwaters of the Sava, the country’s longest river.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.