Triple

T15753296
Position Surface form Disambiguated ID Type / Status
Subject Vipava Valley E381900 entity
Predicate containsSettlement P847 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 Valley, containsSettlement, Vipava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vipava
Context triple: [Vipava Valley, containsSettlement, 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbd605c8190ae2b1289ae9570c3 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:47 a.m.