Triple

T15617699
Position Surface form Disambiguated ID Type / Status
Subject Setomaa region E375459 entity
Predicate culturalCenter P4313 FINISHED
Object Obinitsa E1156210 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: Obinitsa | Statement: [Setomaa region, culturalCenter, Obinitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obinitsa
Context triple: [Setomaa region, culturalCenter, Obinitsa]
  • A. Obinitsa chosen
    Obinitsa is a culturally significant village in southeastern Estonia known as a historic center of Seto traditions, language, and Orthodox heritage.
  • B. Ibaan
    Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
  • C. Borbalán
    Borbalán is a small coastal village within the municipality of Valle Gran Rey on the island of La Gomera in Spain’s Canary Islands.
  • D. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • E. Guzan
    Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56def20881909f835dd44ab9ac2b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.