Triple

T7827217
Position Surface form Disambiguated ID Type / Status
Subject Croatia national football team E181276 entity
Predicate nickname P55 FINISHED
Object Kockasti E562486 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: Kockasti | Statement: [Croatia national football team, nickname, Kockasti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kockasti
Context triple: [Croatia national football team, nickname, Kockasti]
  • A. Kockasti chosen
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • B. Kock
    Kock is a town in eastern Poland known for being the site of the final major battle of the September 1939 campaign during World War II.
  • C. Kockums
    Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
  • D. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • E. Csonka
    Csonka is a surname most famously associated with Larry Csonka, the Hall of Fame former NFL fullback for the Miami Dolphins.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a7f3b8819080f8a8283d6118fb completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a797ee881908068ba7346042756 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:43 p.m.