Triple

T15699920
Position Surface form Disambiguated ID Type / Status
Subject Poznań Główny railway station E380566 entity
Predicate operatedBy P86 FINISHED
Object Polregio E400506 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: Polregio | Statement: [Poznań Główny railway station, operatedBy, Polregio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polregio
Context triple: [Poznań Główny railway station, operatedBy, Polregio]
  • A. Polregio chosen
    Polregio is a major Polish regional rail operator providing passenger train services across numerous routes in Poland.
  • B. Rovigotti
    Rovigotti are the inhabitants or natives of the Italian city of Rovigo, located in the Veneto region.
  • C. Petroupoli
    Petroupoli is a suburban municipality in the northwestern part of the Athens metropolitan area in Greece.
  • D. Codigoro
    Codigoro is a municipality in Italy’s Emilia-Romagna region, known for its agricultural landscape and proximity to the Po River delta.
  • E. Palagano
    Palagano is a small municipality in the Emilia-Romagna region of northern Italy, situated in the Apennine mountains within the Province of Modena.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6d71308190971c10c599da9645 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75756ecc8190bd2123ddfd080fd1 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.