Triple

T21973710
Position Surface form Disambiguated ID Type / Status
Subject Museum of the Occupation of Latvia E542652 entity
Predicate locatedIn P40 FINISHED
Object Vecrīga 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: Vecrīga | Statement: [Museum of the Occupation of Latvia, locatedIn, Vecrīga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vecrīga
Context triple: [Museum of the Occupation of Latvia, locatedIn, Vecrīga]
  • A. Vecrīga chosen
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • B. Virslīga
    Virslīga is the top professional football league in Latvia, featuring the country’s highest-level clubs competing for the national championship.
  • C. Vaiņode
    Vaiņode is a small town in western Latvia, situated in the historical region of Kurzeme.
  • D. Vidzeme
    Vidzeme is a historical region in northern Latvia known for its rich cultural heritage, forests, and role in the development of Latvian national identity.
  • E. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248668ac81909c74b2be62f69fce completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.