Triple
T29022272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangu Atlético Clube |
E737482
|
entity |
| Predicate | countryFIFA |
P22137
|
FINISHED |
| Object | FIFA member association (Brazil) |
—
|
NE NERFINISHED |
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: FIFA member association (Brazil) | Statement: [Bangu Atlético Clube, countryFIFA, FIFA member association (Brazil)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryFIFA Context triple: [Bangu Atlético Clube, countryFIFA, FIFA member association (Brazil)]
-
A.
homeCountryFIFA_code
Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
-
B.
fifaAffiliationCountry
chosen
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
C.
countryOfLeague
Indicates the country in which a given league is based or officially belongs.
-
D.
countryFA
Indicates that a country is the foreign affiliation or foreign authority associated with another entity.
-
E.
worldCupContender
Indicates that an entity (typically a national team) is considered a serious candidate to compete for and potentially win the FIFA World Cup.
- F. None of above.
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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: April 28, 2026, 9:50 a.m.