Triple

T15449357
Position Surface form Disambiguated ID Type / Status
Subject Union Olimpija E370106 entity
Predicate hasRival P1375 FINISHED
Object Cibona
Cibona is a prominent Croatian professional basketball club based in Zagreb, known for its rich history and success in European competitions.
E1158621 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: Cibona | Statement: [Union Olimpija, hasRival, Cibona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cibona
Context triple: [Union Olimpija, hasRival, Cibona]
  • A. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • B. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • C. Belic
    Belic is a small settlement located near Playa Las Coloradas on the coast of Cuba.
  • D. Vlasic
    Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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: Cibona
Triple: [Union Olimpija, hasRival, Cibona]
Generated description
Cibona is a prominent Croatian professional basketball club based in Zagreb, known for its rich history and success in European competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cibona
Target entity description: Cibona is a prominent Croatian professional basketball club based in Zagreb, known for its rich history and success in European competitions.
  • A. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • B. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • C. Belic
    Belic is a small settlement located near Playa Las Coloradas on the coast of Cuba.
  • D. Vlasic
    Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2dc38b1c819097059a7bdb066874 completed May 9, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ec231dc8190b82333e3e54ced20 completed May 9, 2026, 12:55 p.m.
Created at: April 10, 2026, 3:21 a.m.