Triple

T5099672
Position Surface form Disambiguated ID Type / Status
Subject InterRegio E114951 entity
Predicate relatedServiceType P12758 FINISHED
Object InterCity E20070 NE FINISHED

How this triple was built (3 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: [InterRegio, relatedServiceType, InterCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterCity
Context triple: [InterRegio, relatedServiceType, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedServiceType
Context triple: [InterRegio, relatedServiceType, InterCity]
  • A. relatedService chosen
    Indicates that one service is connected or associated with another service in a relevant or dependent way.
  • B. relatedType
    Indicates that one entity is connected to another through a specified type or category of relationship.
  • C. relatedTo
    Indicates a general, non-specific relationship or association exists between two entities.
  • D. associatedSiteType
    Indicates the type or category of site with which an entity is associated.
  • E. serviceOf
    Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
  • F. None of above.

Provenance (4 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7568e9c881909f114973faef6832 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8977f481908b0d55a9cd28d492 completed March 21, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69bd715e06808190931934dc9930f997 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.