Triple

T29509729
Position Surface form Disambiguated ID Type / Status
Subject Chance Liga E748613 entity
Predicate sponsorshipNaming P26420 FINISHED
Object named after betting company Chance
Chance Liga is the second-highest professional ice hockey league in the Czech Republic, known for its role as a key development competition below the top-tier Extraliga.
 E1872610 NE FINISHED

How this triple was built (3 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: named after betting company Chance | Statement: [Chance Liga, sponsorshipNaming, named after betting company Chance]
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: named after betting company Chance
Triple: [Chance Liga, sponsorshipNaming, named after betting company Chance]
Generated description
Chance Liga is the second-highest professional ice hockey league in the Czech Republic, known for its role as a key development competition below the top-tier Extraliga.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: sponsorshipNaming
Context triple: [Chance Liga, sponsorshipNaming, named after betting company Chance]
  • A. sponsorshipName
    Indicates the name or title associated with a sponsorship relationship between entities.
  • B. sponsorshipNameAdopted chosen
    Indicates that an entity has adopted or taken on a specific sponsorship name as its official or recognized designation.
  • C. sponsorshipRenamedFrom
    Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
  • D. sponsorshipBrand
    Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
  • E. sponsoredNameHolder
    Indicates that one entity holds or uses a name or title under the sponsorship or endorsement of another entity.
  • F. None of above.

Provenance (6 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_69f0bd461c208190bec20bbf24e02cc5 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c1d26808190bc20421b57b908f5 completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a261065aefc8190b2945fba730d44ba completed June 8, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a2614a384988190939b488b13114459 completed June 8, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
Created at: April 28, 2026, 4:31 p.m.