Triple

T11107991
Position Surface form Disambiguated ID Type / Status
Subject Club Nacional de Football E262682 entity
Predicate nickname P55 FINISHED
Object Bolso
Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
E906243 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: Bolso | Statement: [Club Nacional de Football, nickname, Bolso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolso
Context triple: [Club Nacional de Football, nickname, Bolso]
  • A. Stringbag
    Stringbag was the affectionate nickname given to the British Fairey Swordfish biplane torpedo bomber, renowned for its outdated appearance yet remarkable effectiveness in World War II naval operations.
  • B. Dime Bag
    "Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
  • C. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • D. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • E. BAG
    BAG is the commonly used abbreviation for the Federal Labour Court of Germany, the country’s highest court for labor and employment law disputes.
  • 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: Bolso
Triple: [Club Nacional de Football, nickname, Bolso]
Generated description
Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bolso
Target entity description: Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
  • A. Stringbag
    Stringbag was the affectionate nickname given to the British Fairey Swordfish biplane torpedo bomber, renowned for its outdated appearance yet remarkable effectiveness in World War II naval operations.
  • B. Dime Bag
    "Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
  • C. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • D. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • E. BAG
    BAG is the commonly used abbreviation for the Federal Labour Court of Germany, the country’s highest court for labor and employment law disputes.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a67d10c8190815d4c27d55270e8 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.