Triple
T8554331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fluminense Football Club |
E202526
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Flu |
E202526
|
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: Flu | Statement: [Fluminense Football Club, nickname, Flu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flu Context triple: [Fluminense Football Club, nickname, Flu]
-
A.
Flu
chosen
Flu is the popular nickname of Fluminense Football Club, a traditional Brazilian football team based in Rio de Janeiro.
-
B.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
C.
Northgrippian
The Northgrippian is the middle age of the Holocene epoch, defined by a significant global cooling event that occurred around 4,200 years ago.
-
D.
Fla-Flu
Fla-Flu is one of Brazil’s most famous and historic football rivalries, contested between Rio de Janeiro clubs Flamengo and Fluminense.
-
E.
Feve
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
- 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_69cbe8894e7c8190bc0ae2ceec473ecb |
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.