Triple

T10132009
Position Surface form Disambiguated ID Type / Status
Subject Rivne E226359 entity
Predicate hasTwinTown P919 FINISHED
Object Vidin E304761 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: Vidin | Statement: [Rivne, hasTwinTown, Vidin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vidin
Context triple: [Rivne, hasTwinTown, Vidin]
  • A. Vidin chosen
    Vidin is a historic city and river port in northwestern Bulgaria on the Danube, known for its medieval fortress and role as a regional center during the Second Bulgarian Empire.
  • B. Pleven
    Pleven is a major city in northern Bulgaria known for its historical significance, particularly the Siege of Pleven during the Russo-Turkish War, and its role as an economic and cultural center in the region.
  • C. Targovishte
    Targovishte is a town in northeastern Bulgaria known as an administrative and economic center with historical roots dating back to the Ottoman period.
  • D. Silistra
    Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
  • E. Asenovgrad
    Asenovgrad is a town in southern Bulgaria known as a gateway to the Rhodope Mountains and a regional center rich in historical and religious landmarks.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f0c0c588190870b2145be187908 completed April 10, 2026, 6:56 a.m.
Created at: March 30, 2026, 9:06 p.m.