Triple

T5001131
Position Surface form Disambiguated ID Type / Status
Subject Viafiers federalas svizras E112373 entity
Predicate subsidiaryOrBrand P25079 FINISHED
Object InterRegio E114951 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: InterRegio | Statement: [Viafiers federalas svizras, subsidiaryOrBrand, InterRegio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterRegio
Context triple: [Viafiers federalas svizras, subsidiaryOrBrand, InterRegio]
  • A. InterRegio chosen
    InterRegio is a category of medium- to long-distance passenger trains in several European countries that provides relatively fast regional connections between major cities and regions.
  • B. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • C. InterCity
    InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
  • D. Arvato
    Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
  • E. Transdanubia
    Transdanubia is the western region of Hungary lying beyond the Danube River, known for its varied landscapes, historic towns, and role as a major World War II battleground.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77c9fc7c8190b165a5cfd5889ba8 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a3a5a108190a028920b1ae0be7a completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.