Triple
T13528540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil women's national football team |
E323071
|
entity |
| Predicate | governingBodyAbbreviation |
P2886
|
FINISHED |
| Object | CBF |
E202532
|
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: CBF | Statement: [Brazil women's national football team, governingBodyAbbreviation, CBF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBF Context triple: [Brazil women's national football team, governingBodyAbbreviation, CBF]
-
A.
CBF
chosen
CBF is the Brazilian Football Confederation, the main organization responsible for overseeing professional football competitions and the national teams in Brazil.
-
B.
CBF
CBF is the station code for Coimbatore North Junction railway station in Tamil Nadu, India.
-
C.
CBF
CBF is the IATA airport code for Council Bluffs Municipal Airport in Council Bluffs, Iowa, United States.
-
D.
CFB
CFB is the commonly used abbreviation for the French Community of Belgium, the political and cultural body representing French-speaking Belgians.
-
E.
CFB
CFB is the three-letter National Rail station code for Catford Bridge railway station in London, England.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.