Triple

T5826053
Position Surface form Disambiguated ID Type / Status
Subject Fablok E129226 entity
Predicate usedBy P260 FINISHED
Object Polish State Railways E382463 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: Polish State Railways | Statement: [Fablok, usedBy, Polish State Railways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polish State Railways
Context triple: [Fablok, usedBy, Polish State Railways]
  • A. Polskie Koleje Państwowe chosen
    Polskie Koleje Państwowe is Poland’s state-owned national railway company, responsible for the country’s rail infrastructure and passenger and freight services.
  • B. Koleje Dolnośląskie
    Koleje Dolnośląskie is a regional rail operator in the Lower Silesia region of Poland, providing passenger train services connecting major cities and localities, including routes through Wrocław.
  • C. Czech Railways
    Czech Railways is the state-owned national railway operator of the Czech Republic, providing passenger and freight rail services across the country and internationally.
  • D. Wrocław Główny
    Wrocław Główny is the main railway station in Wrocław, Poland, and one of the country’s largest and busiest rail hubs.
  • E. Polish railway network
    The Polish railway network is the nationwide system of rail lines and infrastructure in Poland that connects cities, towns, and regions for passenger and freight transport.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341caa70819087808564e16109b0 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985e3e748190abcc226abdcdb4b5 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.