Triple

T22680004
Position Surface form Disambiguated ID Type / Status
Subject NK Zagreb E560453 entity
Predicate hasAbbreviation P43 FINISHED
Object NK Zagreb 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: NK Zagreb | Statement: [NK Zagreb, hasAbbreviation, NK Zagreb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NK Zagreb
Context triple: [NK Zagreb, hasAbbreviation, NK Zagreb]
  • A. NK Zagreb chosen
    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.
  • B. GNK Dinamo Zagreb
    GNK Dinamo Zagreb is a leading Croatian professional football club, historically one of the most successful and popular teams in the country and a regular participant in European competitions.
  • C. HNK Hajduk Split
    HNK Hajduk Split is a historic and popular Croatian football club based in the coastal city of Split, known for its passionate fan base and long-standing rivalry with Dinamo Zagreb.
  • D. HNK Zagreb
    HNK Zagreb is the principal national theatre in Croatia’s capital, renowned for its opera, drama, and ballet productions.
  • E. FK Velež Mostar
    FK Velež Mostar is a historic Bosnian professional football club from the city of Mostar, known for its passionate fan base and longstanding presence in the country’s top competitions.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785f68b4819082c5570f741f5135 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.