Triple

T13307755
Position Surface form Disambiguated ID Type / Status
Subject Isonzo E316979 entity
Predicate flowsThrough P225 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: [Isonzo, flowsThrough, Bovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovec
Context triple: [Isonzo, flowsThrough, 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. Brnik
    Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
  • D. 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.
  • E. Tolmin
    Tolmin is a small Slovenian town in the Julian Alps, known as a gateway to the Soča Valley and for its scenic gorges, rivers, and outdoor recreation.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.