Triple

T15557957
Position Surface form Disambiguated ID Type / Status
Subject Slavonski Brod E370918 entity
Predicate hasSportsClub P346 FINISHED
Object NK Marsonia E1082825 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: NK Marsonia | Statement: [Slavonski Brod, hasSportsClub, NK Marsonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NK Marsonia
Context triple: [Slavonski Brod, hasSportsClub, NK Marsonia]
  • A. NK Marsonia chosen
    NK Marsonia is a Croatian football club known for developing notable players such as Mario Mandžukić.
  • B. Trinimac
    Trinimac is a powerful elven god in The Elder Scrolls universe, revered for his martial prowess and later transformed into the Daedric Prince Malacath.
  • C. Trimsaran
    Trimsaran is a former coal-mining village in Carmarthenshire, Wales, known for its industrial heritage and rural setting.
  • D. Maahas
    Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Aeromar
    Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • 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_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.
Created at: April 10, 2026, 4:09 a.m.