Triple

T15023201
Position Surface form Disambiguated ID Type / Status
Subject Sopot railway station E378137 entity
Predicate trainOperators P20222 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: [Sopot railway station, trainOperators, Polregio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polregio
Context triple: [Sopot railway station, trainOperators, 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd2c96c8190a0368678584aaa16 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:56 a.m.