Triple

T17092737
Position Surface form Disambiguated ID Type / Status
Subject WHO European Region Member States E414765 entity
Predicate hasMember P10 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: [WHO European Region Member States, hasMember, Estonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estonia
Context triple: [WHO European Region Member States, hasMember, 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfabf548190a0d37bab3d4ef2fa completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbe1d4c81909ce7e4626516b51d completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:35 a.m.