Triple

T16988312
Position Surface form Disambiguated ID Type / Status
Subject Riga City Council E412126 entity
Predicate locatedOnStreet P959 FINISHED
Object Rātslaukums E1237852 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: Rātslaukums | Statement: [Riga City Council, locatedOnStreet, Rātslaukums]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rātslaukums
Context triple: [Riga City Council, locatedOnStreet, Rātslaukums]
  • A. Rātslaukums chosen
    Rātslaukums is the historic Town Hall Square in Riga, Latvia, known for its reconstructed medieval buildings such as the House of the Blackheads.
  • B. Pamūšis
    Pamūšis is a small settlement in present-day Lithuania, historically notable as the birthplace of Russian field marshal Mikhail Barclay de Tolly.
  • C. Ruklys
    Ruklys was a son of King Mindaugas of Lithuania, known primarily from medieval historical records of the Lithuanian royal family.
  • D. Pardais
    Pardais is a civil parish in the municipality of Vila Viçosa, in Portugal’s Alentejo region.
  • 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 (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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27cd2048190800a60ae653e11e1 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc12e308819093e7f8933cdd6ba9 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.