Triple
T33361104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Azucareros |
E854222
|
entity |
| Predicate | continentOfClubReferredTo |
P193004
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [Los Azucareros, continentOfClubReferredTo, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfClubReferredTo Context triple: [Los Azucareros, continentOfClubReferredTo, South America]
-
A.
continentOfClubsPlayedIn
Indicates the continent in which the clubs a given entity has played for are located.
-
B.
continentOfLeague
Indicates the continent on which a given sports league is primarily based or operates.
-
C.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
D.
continentOfWinningTeam
Indicates the continent on which the team that won a given event or competition is located.
-
E.
continentOfNationalTeam
Indicates the continent on which a given national team’s home country is located.
- F. None of above. chosen
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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 1, 2026, 1:34 a.m.