Triple

T20443262
Position Surface form Disambiguated ID Type / Status
Subject Daugavpils University E501449 entity
Predicate locatedIn P40 FINISHED
Object 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: Daugavpils | Statement: [Daugavpils University, locatedIn, Daugavpils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daugavpils
Context triple: [Daugavpils University, locatedIn, 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. Jaunpils
    Jaunpils is a small historic town in western Latvia known for its medieval castle and rural surroundings.
  • E. 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.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfa7dd08190883a37e3480b152c completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.