Triple

T19822270
Position Surface form Disambiguated ID Type / Status
Subject Svenska Spel E476223 entity
Predicate brand P1500 FINISHED
Object Eurojackpot
Eurojackpot is a transnational European lottery game offering large, shared jackpots across multiple participating countries.
 E1397445 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: Eurojackpot | Statement: [Svenska Spel, brand, Eurojackpot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eurojackpot
Context triple: [Svenska Spel, brand, Eurojackpot]
  • A. EuroMillions
    EuroMillions is a transnational European lottery game known for its large jackpots and draws held across multiple participating countries.
  • B. Lotto (Belgian National Lottery brand)
    Lotto is a prominent Belgian National Lottery brand best known for sponsoring sports and cultural events across Belgium.
  • C. Totolapan
    Totolapan is a small town in the Mexican state of Morelos known for its traditional rural character and role as the administrative center of its surrounding municipality.
  • D. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • E. Jackpot
    "Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
  • 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: Eurojackpot
Triple: [Svenska Spel, brand, Eurojackpot]
Generated description
Eurojackpot is a transnational European lottery game offering large, shared jackpots across multiple participating countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eurojackpot
Target entity description: Eurojackpot is a transnational European lottery game offering large, shared jackpots across multiple participating countries.
  • A. EuroMillions
    EuroMillions is a transnational European lottery game known for its large jackpots and draws held across multiple participating countries.
  • B. Lotto (Belgian National Lottery brand)
    Lotto is a prominent Belgian National Lottery brand best known for sponsoring sports and cultural events across Belgium.
  • C. Totolapan
    Totolapan is a small town in the Mexican state of Morelos known for its traditional rural character and role as the administrative center of its surrounding municipality.
  • D. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • E. Jackpot
    "Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd22b448190b447c893ee9ffd83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cfe19c288190b360d1767e8fffa3 completed May 16, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0c1cbc08190bffbc27457117b82 completed May 16, 2026, 2:04 a.m.
Created at: April 10, 2026, 1:50 p.m.