Triple

T7413787
Position Surface form Disambiguated ID Type / Status
Subject Karawanks E171076 entity
Predicate hasPass P11208 FINISHED
Object Wurzen Pass E425063 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: Wurzen Pass | Statement: [Karawanks, hasPass, Wurzen Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wurzen Pass
Context triple: [Karawanks, hasPass, Wurzen Pass]
  • A. Wurzen Pass chosen
    Wurzen Pass is a mountain pass in the Karawanks range that connects Slovenia and Austria, serving as an important cross-border route near Kranjska Gora.
  • B. Splügen Pass
    Splügen Pass is a high Alpine route in the central Alps that connects Switzerland and Italy, historically serving as an important transalpine trade and travel corridor.
  • C. Świnicka Pass
    Świnicka Pass is a high mountain pass in the Tatra Mountains on the Polish–Slovak border, popular with experienced hikers and mountaineers.
  • D. Hahnenmoos Pass
    Hahnenmoos Pass is a scenic mountain pass in the Swiss Alps known for connecting the resorts of Adelboden and Lenk and offering hiking, skiing, and panoramic views.
  • E. Jablunkov Pass
    Jablunkov Pass is a mountain pass in the Silesian Beskids of southern Poland, serving as an important natural corridor and transport route near the Czech and Slovak borders.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82779a1d8819098f136291fa42433 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:11 p.m.