Triple

T7114772
Position Surface form Disambiguated ID Type / Status
Subject PFC Levski Sofia E165790 entity
Predicate shortName P43 FINISHED
Object Levski Sofia E165790 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: Levski Sofia | Statement: [PFC Levski Sofia, shortName, Levski Sofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levski Sofia
Context triple: [PFC Levski Sofia, shortName, 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. 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.
  • C. PFC Slavia Sofia
    PFC Slavia Sofia is a Bulgarian professional football club based in Sofia and one of the country’s oldest and most historic teams.
  • D. PFC CSKA Sofia
    PFC CSKA Sofia is a prominent Bulgarian professional football club based in Sofia, known for its historic domestic success and participation in European competitions.
  • E. Dinamo Tirana
    Dinamo Tirana is a professional Albanian football club based in the capital city, known historically as one of the country's most successful and prominent teams.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f0dab8819092103aefcaa1f9c2 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.