Triple

T20072744
Position Surface form Disambiguated ID Type / Status
Subject Daugavpils railway station E499778 entity
Predicate serves P98 FINISHED
Object city of Daugavpils NE NERFINISHED

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: city of Daugavpils | Statement: [Daugavpils railway station, serves, city of Daugavpils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Daugavpils
Context triple: [Daugavpils railway station, serves, city of Daugavpils]
  • A. Daugavpils chosen
    Daugavpils is Latvia’s second-largest city, known as the birthplace of abstract expressionist painter Mark Rothko and for its multicultural heritage and 19th-century fortress.
  • B. Valmiera
    Valmiera is a historic city in northern Latvia, situated on the Gauja River and known today as a regional economic and cultural center in the Vidzeme region.
  • C. Bauska
    Bauska is a historic town in southern Latvia known for its medieval castle and location at the confluence of the Mūsa and Mēmele rivers, which form the Lielupe.
  • D. Jaunpils
    Jaunpils is a small historic town in western Latvia known for its medieval castle and rural surroundings.
  • E. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664392c748190a6cc472f80b8c74b completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.