Triple

T15372833
Position Surface form Disambiguated ID Type / Status
Subject Võru County E367591 entity
Predicate partOf P40 FINISHED
Object Estonia E22105 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: Estonia | Statement: [Võru County, partOf, Estonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estonia
Context triple: [Võru County, partOf, Estonia]
  • A. Estonia chosen
    Estonia is a Northern European country on the Baltic Sea known for its advanced digital society, rapid post-Soviet economic development, and membership in organizations such as the European Union and NATO.
  • B. Eston
    Eston is a town in North Yorkshire, England, historically associated with ironstone mining and now part of the borough of Redcar and Cleveland.
  • C. Latvia
    Latvia is a Baltic nation in Northern Europe known for its historic capital Riga, diverse cultural heritage, and membership in major international organizations such as the European Union and NATO.
  • D. Latveria
    Latveria is a fictional Eastern European nation in Marvel Comics, best known as the technologically advanced yet oppressive kingdom ruled by the supervillain Doctor Doom.
  • E. Suvalkija
    Suvalkija is one of the ethnographic regions of Lithuania, known for its distinct cultural traditions, dialect, and historical development in the southwestern part of the country.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b39b6f88190ac9d6532e99fda31 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:18 a.m.