Triple

T20368878
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian Cup E496991 entity
Predicate mostSuccessfulClub P2706 FINISHED
Object Levski Sofia 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: Levski Sofia | Statement: [Bulgarian Cup, mostSuccessfulClub, Levski Sofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levski Sofia
Context triple: [Bulgarian Cup, mostSuccessfulClub, Levski Sofia]
  • A. PFC Levski Sofia chosen
    PFC Levski Sofia is one of Bulgaria’s most successful and popular professional football clubs, based in the capital city of Sofia.
  • B. PFC Ludogorets Razgrad
    PFC Ludogorets Razgrad is a Bulgarian professional football club known for its domestic dominance and regular participation in European competitions.
  • C. PFC Spartak Pleven
    PFC Spartak Pleven is a Bulgarian football club based in the city of Pleven that competes in the national league system.
  • D. PFC Cherno More Varna
    PFC Cherno More Varna is a Bulgarian professional football club from the city of Varna, known as one of the country’s established top-flight teams.
  • E. FC Hebar Pazardzhik
    FC Hebar Pazardzhik is a Bulgarian professional football club based in the city of Pazardzhik that competes in the national league system.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.