Triple

T4634771
Position Surface form Disambiguated ID Type / Status
Subject Vršič Pass E101502 entity
Predicate connectsValley P41624 FINISHED
Object Soča Valley E428261 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: Soča Valley | Statement: [Vršič Pass, connectsValley, Soča Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soča Valley
Context triple: [Vršič Pass, connectsValley, Soča Valley]
  • A. Soča Valley chosen
    The Soča Valley is a picturesque alpine valley in western Slovenia, renowned for its emerald-green Soča River, outdoor sports, and World War I history.
  • B. Vipava Valley
    Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
  • C. 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.
  • D. Soča River
    The Soča River is a strikingly clear, emerald-green river flowing through western Slovenia and northeastern Italy, renowned for its alpine scenery and outdoor sports like kayaking, rafting, and fishing.
  • E. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • 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_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 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.