Triple

T4413567
Position Surface form Disambiguated ID Type / Status
Subject Saeima E94908 entity
Predicate canAmend P2463 FINISHED
Object Satversme E436964 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: Satversme | Statement: [Saeima, canAmend, Satversme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satversme
Context triple: [Saeima, canAmend, Satversme]
  • A. Satversme chosen
    Satversme is the constitution of the Republic of Latvia, establishing its fundamental political structure, rights, and legal framework.
  • B. Satversme of Latvia
    The Satversme of Latvia is the country's constitution, establishing its system of government, fundamental rights, and legal order.
  • C. Vecrīga
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • D. Setalvad
    Setalvad is an Indian surname notably associated with prominent legal and public figures, including India’s first Attorney General, Chimanlal Harilal Setalvad.
  • E. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136465c48190a5bdab81fe1438c4 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.