Triple

T4461140
Position Surface form Disambiguated ID Type / Status
Subject Seimas E98256 entity
Predicate shortName P43 FINISHED
Object Seimas E98256 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: Seimas | Statement: [Seimas, shortName, Seimas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seimas
Context triple: [Seimas, shortName, Seimas]
  • A. Seimas chosen
    The Seimas is the unicameral national parliament of Lithuania, responsible for making laws, approving the government, and overseeing state affairs.
  • B. Saeima
    Saeima is the unicameral national parliament of Latvia, responsible for making laws, approving the government, and overseeing state affairs.
  • C. Riigikogu
    Riigikogu is the unicameral national parliament of Estonia, responsible for enacting laws, approving the budget, and overseeing the government.
  • D. Sejm
    The Sejm is the lower house of Poland’s national parliament, historically serving as the central representative and legislative body in the country’s political system.
  • E. Plenary Chamber of the Seimas
    The Plenary Chamber of the Seimas is the main hall where Lithuania’s parliament holds its full legislative sessions and key debates.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35674f718819089388c3924dd1414 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b31c9488190bc24f802fff24073 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:34 p.m.