Triple
T22944684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio García |
E569831
|
entity |
| Predicate | youthAchievement |
P50869
|
FINISHED |
| Object | won professional event as a teenager in Europe |
—
|
LITERAL 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: won professional event as a teenager in Europe | Statement: [Sergio García, youthAchievement, won professional event as a teenager in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAchievement Context triple: [Sergio García, youthAchievement, won professional event as a teenager in Europe]
-
A.
notableYouthAchievement
chosen
Indicates that an entity is recognized for a significant or distinguished accomplishment achieved during its youth.
-
B.
placeOfAchievement
Indicates the location where an entity accomplished or attained a particular achievement or notable success.
-
C.
youthCareerClub
Indicates the club or team an individual was associated with during their youth or junior career stage.
-
D.
collegeAchievement
Indicates that an entity has attained a specific level of success, recognition, or accomplishment in a college or higher-education context.
-
E.
youthLeader
Indicates that an entity holds a leadership role within a youth-focused group, organization, or activity.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819c696c8190977bd2bca01509bc |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.