Triple

T7174284
Position Surface form Disambiguated ID Type / Status
Subject PFC Slavia Sofia E167279 entity
Predicate shortName P43 FINISHED
Object Slavia Sofia E167279 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: Slavia Sofia | Statement: [PFC Slavia Sofia, shortName, Slavia Sofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavia Sofia
Context triple: [PFC Slavia Sofia, shortName, Slavia Sofia]
  • A. PFC Slavia Sofia chosen
    PFC Slavia Sofia is a Bulgarian professional football club based in Sofia and one of the country’s oldest and most historic teams.
  • B. PFC Levski Sofia
    PFC Levski Sofia is one of Bulgaria’s most successful and popular professional football clubs, based in the capital city of Sofia.
  • C. 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.
  • D. SK Slavia Prague
    SK Slavia Prague is one of the most successful and historic football clubs in the Czech Republic, based in Prague and competing in the country’s top division.
  • E. Dukla Prague
    Dukla Prague is a historic Czech football club from Prague known for its success in the mid-20th century and for producing notable players such as Pavel Nedvěd.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:48 p.m.