Triple
T26759556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Valdano |
E674760
|
entity |
| Predicate | continentOfProfessionalCareer |
P167105
|
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: [Jorge Valdano, continentOfProfessionalCareer, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfProfessionalCareer Context triple: [Jorge Valdano, continentOfProfessionalCareer, South America]
-
A.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
B.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
C.
continentOfCoachingActivity
Indicates the continent in which a given coaching activity takes place or is carried out.
-
D.
continentOfResidence
Indicates the continent on which a given entity currently resides or is based.
-
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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 27, 2026, 3:57 a.m.