Triple

T15557958
Position Surface form Disambiguated ID Type / Status
Subject Slavonski Brod E370918 entity
Predicate hasSportsClub P346 FINISHED
Object KK Slavonski Brod
KK Slavonski Brod is a Croatian basketball club based in the city of Slavonski Brod.
E1164127 NE FINISHED

How this triple was built (4 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: KK Slavonski Brod | Statement: [Slavonski Brod, hasSportsClub, KK Slavonski Brod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KK Slavonski Brod
Context triple: [Slavonski Brod, hasSportsClub, KK Slavonski Brod]
  • A. KK Osijek
    KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
  • B. KK Zadar
    KK Zadar is a Croatian professional basketball club from the city of Zadar, historically one of the country’s most successful and influential teams.
  • C. KK Sloga
    KK Sloga is a Serbian professional basketball club best known as one of the early teams in the career of NBA star Vlade Divac.
  • D. KK Cibona
    KK Cibona is a prominent Croatian professional basketball club from Zagreb, historically renowned as one of Europe’s elite teams and for developing legendary players like Dražen Petrović.
  • E. NK Osijek
    NK Osijek is a professional Croatian football club based in the city of Osijek, known for competing in the country’s top league and developing local talent.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KK Slavonski Brod
Triple: [Slavonski Brod, hasSportsClub, KK Slavonski Brod]
Generated description
KK Slavonski Brod is a Croatian basketball club based in the city of Slavonski Brod.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KK Slavonski Brod
Target entity description: KK Slavonski Brod is a Croatian basketball club based in the city of Slavonski Brod.
  • A. KK Osijek
    KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
  • B. KK Zadar
    KK Zadar is a Croatian professional basketball club from the city of Zadar, historically one of the country’s most successful and influential teams.
  • C. KK Sloga
    KK Sloga is a Serbian professional basketball club best known as one of the early teams in the career of NBA star Vlade Divac.
  • D. KK Cibona
    KK Cibona is a prominent Croatian professional basketball club from Zagreb, historically renowned as one of Europe’s elite teams and for developing legendary players like Dražen Petrović.
  • E. NK Osijek
    NK Osijek is a professional Croatian football club based in the city of Osijek, known for competing in the country’s top league and developing local talent.
  • F. None of above. chosen

Provenance (5 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff470492f48190852ede832157ed10 completed May 9, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69ff47e5647c81909b785a1212c4bc50 completed May 9, 2026, 2:42 p.m.
Created at: April 10, 2026, 4:09 a.m.