Triple

T10681460
Position Surface form Disambiguated ID Type / Status
Subject Pesa E251764 entity
Predicate hasCustomer P734 FINISHED
Object PKP Intercity E109587 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: PKP Intercity | Statement: [Pesa, hasCustomer, PKP Intercity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKP Intercity
Context triple: [Pesa, hasCustomer, PKP Intercity]
  • A. PKP Intercity chosen
    PKP Intercity is Poland’s primary long-distance passenger rail operator, running intercity and international train services across the country and beyond.
  • B. İZBAN commuter rail
    İZBAN commuter rail is a major suburban rail system serving the İzmir metropolitan area in Turkey, providing high-capacity, rapid transit along the city’s north–south axis.
  • C. KOP Rail
    KOP Rail is a proposed extension of Philadelphia’s Norristown High Speed Line intended to provide direct rail service to the King of Prussia area, including its major commercial and retail centers.
  • D. Biotrén commuter rail
    Biotrén commuter rail is a suburban passenger train system serving the Greater Concepción metropolitan area in Chile, connecting key urban and outlying communities.
  • E. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98885abf88190b54ed9db779d3ff0 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.