Triple

T19960930
Position Surface form Disambiguated ID Type / Status
Subject PKP IC E479810 entity
Predicate brand P1500 FINISHED
Object InterCity NE NERFINISHED

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: InterCity | Statement: [PKP IC, brand, InterCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterCity
Context triple: [PKP IC, brand, InterCity]
  • A. InterCity chosen
    InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
  • B. InterCity CrossCountry
    InterCity CrossCountry was a former British Rail sector that operated long-distance cross-country passenger train services across the United Kingdom before privatisation.
  • C. Intercity Express Train
    The Intercity Express Train is a modern high-speed passenger train used on long-distance routes in the UK, known for faster journeys, improved comfort, and greater energy efficiency compared to older rolling stock.
  • D. Intercity direct
    Intercity direct is a high-speed Dutch train service connecting major cities such as Amsterdam, Rotterdam, and Breda via the high-speed line.
  • E. InterCityExpress
    InterCityExpress is Germany’s high-speed train service operated by Deutsche Bahn, known for fast long-distance connections between major cities and neighboring countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af4520c81909986a47289ba801e completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.