Triple

T15753097
Position Surface form Disambiguated ID Type / Status
Subject Goriška statistical region E381895 entity
Predicate containsCity P294 FINISHED
Object Bovec E101503 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: Bovec | Statement: [Goriška statistical region, containsCity, Bovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovec
Context triple: [Goriška statistical region, containsCity, Bovec]
  • A. Bovec chosen
    Bovec is a small Slovenian town known for its alpine scenery and outdoor adventure tourism, including hiking, skiing, and white-water sports.
  • B. Kranjska Gora
    Kranjska Gora is a well-known Slovenian alpine resort town famed for skiing, hiking, and World Cup winter sports events.
  • C. Radovljica
    Radovljica is a historic town in northwestern Slovenia known for its well-preserved medieval old town and cultural heritage.
  • D. Brnik
    Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
  • E. Kamnik
    Kamnik is a historic town in northern Slovenia known for its medieval architecture, nearby Kamnik–Savinja Alps, and role as a regional cultural and tourist center.
  • 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_69ffa129a6448190affdee9d0b1362bc completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:47 a.m.