Triple

T19524080
Position Surface form Disambiguated ID Type / Status
Subject Daugava River waterfront area E488475 entity
Predicate partOf P40 FINISHED
Object Riga city centre 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: Riga city centre | Statement: [Daugava River waterfront area, partOf, Riga city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riga city centre
Context triple: [Daugava River waterfront area, partOf, Riga city centre]
  • A. Riga Central District chosen
    Riga Central District is a central administrative area of Riga, Latvia, encompassing key urban streets, commercial zones, and cultural landmarks.
  • B. Riga Town Hall Square
    Riga Town Hall Square is a central historic plaza in Riga renowned for its reconstructed medieval-style buildings, including the House of the Blackheads, and its role as a focal point of the city's cultural and civic life.
  • C. Riga
    Riga is a town in the Sitamarhi district of the Indian state of Bihar.
  • D. Riga
    Riga is the capital and largest city of Latvia, a historic cultural and economic hub on the Baltic Sea known for its Art Nouveau architecture and significant port.
  • E. Riga Central Market
    Riga Central Market is a historic and expansive marketplace in Riga, Latvia, famed for its food halls housed in former Zeppelin hangars and recognized as one of Europe’s largest and most notable market complexes.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636392444819094f6a2aa1cdf3d42 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.