Triple

T21531890
Position Surface form Disambiguated ID Type / Status
Subject Uruguay vs Brazil (1950 FIFA World Cup) E531249 entity
Predicate goalScorerForBrazil P2695 FINISHED
Object Friaça
Friaça was a Brazilian forward best known for scoring Brazil’s only goal in the decisive 1950 FIFA World Cup match against Uruguay, often called the “Maracanazo.”
 E1489167 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: Friaça | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), goalScorerForBrazil, Friaça]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friaça
Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), goalScorerForBrazil, Friaça]
  • A. Kühtai
    Kühtai is a high-altitude ski resort village in the Austrian Alps known for its winter sports facilities and reliable snow conditions.
  • B. Frías
    Frías is a Spanish-language surname commonly found in Spain and Latin America.
  • C. Falinesti
    Falinesti is a legendary, seasonally migrating walking city of the Bosmer in Valenwood in The Elder Scrolls universe.
  • D. Perejaume
    Perejaume is a contemporary Catalan artist and poet known for his conceptual explorations of landscape, language, and the relationship between art and territory.
  • E. Buir
    Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
  • 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: Friaça
Triple: [Uruguay vs Brazil (1950 FIFA World Cup), goalScorerForBrazil, Friaça]
Generated description
Friaça was a Brazilian forward best known for scoring Brazil’s only goal in the decisive 1950 FIFA World Cup match against Uruguay, often called the “Maracanazo.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Friaça
Target entity description: Friaça was a Brazilian forward best known for scoring Brazil’s only goal in the decisive 1950 FIFA World Cup match against Uruguay, often called the “Maracanazo.”
  • A. Kühtai
    Kühtai is a high-altitude ski resort village in the Austrian Alps known for its winter sports facilities and reliable snow conditions.
  • B. Frías
    Frías is a Spanish-language surname commonly found in Spain and Latin America.
  • C. Falinesti
    Falinesti is a legendary, seasonally migrating walking city of the Bosmer in Valenwood in The Elder Scrolls universe.
  • D. Perejaume
    Perejaume is a contemporary Catalan artist and poet known for his conceptual explorations of landscape, language, and the relationship between art and territory.
  • E. Buir
    Buir is a district or locality within the town of Kerpen in North Rhine-Westphalia, Germany.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e83156f48190aa472ffa77a4de57 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8d6d1a88190b3f48111ed6a4043 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e94d6f2c819097df5c0a2b59e63a completed May 17, 2026, 4:14 p.m.
Created at: April 16, 2026, 6:27 p.m.