Triple
T8554573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBF |
E202532
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Brazil in FIFA |
E52616
|
NE FINISHED |
How this triple was built (2 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: Brazil in FIFA | Statement: [CBF, represents, Brazil in FIFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazil in FIFA Context triple: [CBF, represents, Brazil in FIFA]
-
A.
Brazil national football team
chosen
The Brazil national football team is one of the most successful and iconic teams in world football history, renowned for its attacking style and record number of FIFA World Cup titles.
-
B.
Brazil vs Germany
Brazil vs Germany refers to the infamous 2014 FIFA World Cup semifinal in which Germany defeated host nation Brazil 7–1, one of the most shocking and lopsided matches in World Cup history.
-
C.
Brazil
Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
-
D.
Brazil
Brazil is a 1985 dystopian science fiction film known for its darkly satirical portrayal of a bureaucratic, totalitarian society and its distinctive, surreal visual style.
-
E.
CAF Brasil
CAF Brasil is the Brazilian subsidiary of the Spanish rolling stock manufacturer CAF, focused on supplying and maintaining railway and urban transit vehicles in Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd67d288190a147562a99ecde56 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.