Triple
T7426814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CO Les Ulis |
E171387
|
entity |
| Predicate | youthDevelopmentFocus |
P44495
|
FINISHED |
| Object | training young players |
—
|
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: training young players | Statement: [CO Les Ulis, youthDevelopmentFocus, training young players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthDevelopmentFocus Context triple: [CO Les Ulis, youthDevelopmentFocus, training young players]
-
A.
youthAcademyFocus
chosen
Indicates that an organization or program is primarily dedicated to developing and training young or junior participants.
-
B.
youthLeader
Indicates that an entity holds a leadership role within a youth-focused group, organization, or activity.
-
C.
youthWing
Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
-
D.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
E.
youthAcademyReputation
Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.