Triple

T12506203
Position Surface form Disambiguated ID Type / Status
Subject Jura Foot Railway E298953 entity
Predicate connectsLinguisticRegions P24718 FINISHED
Object Romandy and German-speaking Switzerland LITERAL 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: Romandy and German-speaking Switzerland | Statement: [Jura Foot Railway, connectsLinguisticRegions, Romandy and German-speaking Switzerland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsLinguisticRegions
Context triple: [Jura Foot Railway, connectsLinguisticRegions, Romandy and German-speaking Switzerland]
  • A. belongsToLinguisticRegion
    Indicates that one linguistic entity (such as a language, dialect, or speech variety) is associated with or situated within a particular linguistic region or area.
  • B. separatesLinguisticRegions
    Indicates that one entity serves as a boundary or divider between distinct linguistic regions or language areas.
  • C. connectsRegions chosen
    Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
  • D. alsoInLanguageRegion
    Indicates that two or more entities are located within or associated with the same language-defined geographic region.
  • E. linkedToRegion
    Indicates that one entity is associated or connected to a specific geographic or administrative region.
  • F. None of above.

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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69d94d43b7008190af2648fe09fd6d23 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.