Triple

T7132034
Position Surface form Disambiguated ID Type / Status
Subject Dzvina E166211 entity
Predicate passesThroughCity P416 FINISHED
Object Daugavpils E116942 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: Daugavpils | Statement: [Dzvina, passesThroughCity, Daugavpils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daugavpils
Context triple: [Dzvina, passesThroughCity, 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. Rēzekne
    Rēzekne is a city in eastern Latvia that serves as one of the main cultural, economic, and transportation centers of the Latgale region.
  • D. 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.
  • E. Ventspils
    Ventspils is a port city on Latvia’s Baltic Sea coast known for its major ice-free harbor, oil and cargo terminals, and well-preserved historic center.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66f15b88190bc1fb0f0a8af16a6 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad90bdd881908430ee9f7aa4f9ac completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.