Triple
T24417119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Olympic Committee Athlete of the Century |
E615614
|
entity |
| Predicate | continentOfPresenter |
P155848
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [International Olympic Committee Athlete of the Century, continentOfPresenter, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfPresenter Context triple: [International Olympic Committee Athlete of the Century, continentOfPresenter, Europe]
-
A.
continentOfSubject
Indicates that the object is the continent on which the subject is located or to which the subject belongs.
-
B.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
C.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
D.
continentOfHostCity
Indicates the continent on which the host city of an event or entity is located.
-
E.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:13 a.m.