Triple

T4634773
Position Surface form Disambiguated ID Type / Status
Subject Vršič Pass E101502 entity
Predicate connectsSettlement P8239 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: [Vršič Pass, connectsSettlement, Bovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovec
Context triple: [Vršič Pass, connectsSettlement, 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. Portorož
    Portorož is a popular Slovenian seaside resort town on the Adriatic coast, known for its beaches, spa tourism, and vibrant holiday atmosphere.
  • D. 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.
  • E. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5ec8108190aeb1147a67bff057 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0368d2748190bc8560ecb16e1997 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.