Triple
T30322988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Merconorte |
E771255
|
entity |
| Predicate | firstChampionCountry |
P203220
|
FINISHED |
| Object | Brazil |
E19289
|
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 | Statement: [Copa Merconorte, firstChampionCountry, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChampionCountry Context triple: [Copa Merconorte, firstChampionCountry, Brazil]
-
A.
countryOfFirstChampion
chosen
Indicates the country from which the very first champion (winner) of a given competition or title originated.
-
B.
pairsChampionCountry
Indicates the country that the pairs champion represents or is associated with.
-
C.
lastSeasonChampionCountry
Indicates the country whose team or representative won the championship in the immediately preceding season.
-
D.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
-
E.
championNationality
Indicates the country or nationality that a champion represents or is associated with.
- F. None of above.
Provenance (4 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01cb89ff448190b60ee3d148ce76fc |
completed | May 11, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c1850d4819083aa74aef9e4f636 |
completed | June 9, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_6a01ca7604b48190bb8643c17c3a8c85 |
completed | May 11, 2026, 12:24 p.m. |
Created at: April 29, 2026, 7:52 p.m.