Triple

T20088138
Position Surface form Disambiguated ID Type / Status
Subject Stadion Rujevica E496189 entity
Predicate homeStadiumOf P2696 FINISHED
Object HNK Rijeka E496188 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: HNK Rijeka | Statement: [Stadion Rujevica, homeStadiumOf, HNK Rijeka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNK Rijeka
Context triple: [Stadion Rujevica, homeStadiumOf, HNK Rijeka]
  • A. HNK Rijeka chosen
    HNK Rijeka is a professional Croatian football club based in the coastal city of Rijeka, known for competing in the country’s top league and winning multiple domestic trophies.
  • B. HNK Šibenik
    HNK Šibenik is a Croatian professional football club based in the coastal city of Šibenik, known for competing in the country’s top football leagues.
  • C. HNK Zagreb
    HNK Zagreb is the principal national theatre in Croatia’s capital, renowned for its opera, drama, and ballet productions.
  • D. NK Zadar
    NK Zadar is a Croatian football club based in the coastal city of Zadar, known for developing notable players such as Luka Modrić.
  • E. NK Zagreb
    NK Zagreb is a Croatian professional football club based in Zagreb that has competed in the country’s top leagues and developed several notable players.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655c7de081909a400c736e92495d completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f4bdf448190a0abfbaddcf6bd63 completed May 16, 2026, 7:39 a.m.
Created at: April 11, 2026, 11:16 p.m.