Triple

T15774904
Position Surface form Disambiguated ID Type / Status
Subject Polskie Koleje Państwowe E382463 entity
Predicate hasRailNetworkIn P24517 FINISHED
Object Poland E5029 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: Poland | Statement: [Polskie Koleje Państwowe, hasRailNetworkIn, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poland
Context triple: [Polskie Koleje Państwowe, hasRailNetworkIn, Poland]
  • A. Poland chosen
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • B. Polonia
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • C. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • D. Franuś
    Franuś is a Polish diminutive form of the male given name Franciszek, used as an affectionate or familiar nickname.
  • E. Poland and Czech Republic
    Poland and the Czech Republic are neighboring Central European countries known for their shared history, cultural ties, and extensive cross-border rail connections.
  • 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: hasRailNetworkIn
Context triple: [Polskie Koleje Państwowe, hasRailNetworkIn, Poland]
  • A. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • B. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • C. connectsToRailwayNetwork
    Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
  • D. hasPassengerRailConnection
    Indicates that there exists a passenger rail service linking one location or transport node to another.
  • E. railroadNetwork chosen
    Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05198c1588190a65e23c18443eb5c completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998397688190a77b6a7c5b542f7e completed May 9, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.