Triple

T18246424
Position Surface form Disambiguated ID Type / Status
Subject Satversme of Latvia E436963 entity
Predicate shortName P43 FINISHED
Object Satversme 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: Satversme | Statement: [Satversme of Latvia, shortName, Satversme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satversme
Context triple: [Satversme of Latvia, shortName, Satversme]
  • A. Satversme chosen
    Satversme is the constitution of the Republic of Latvia, establishing its fundamental political structure, rights, and legal framework.
  • B. Wasauksing
    Wasauksing is a community located on Wasauksing First Nation territory in Ontario, Canada, situated on Parry Island in Georgian Bay.
  • C. Satversme of Latvia
    The Satversme of Latvia is the country's constitution, establishing its system of government, fundamental rights, and legal order.
  • D. Tukums
    Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
  • E. Samotišky
    Samotišky is a small village and municipality located in the Olomouc Region of the Czech Republic.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e7d49c8190b227a13b63615754 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.