Triple
T1586816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlético Ottawa |
E34083
|
entity |
| Predicate | hasYouthFocus |
P29430
|
FINISHED |
| Object | player development in Ottawa region |
—
|
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: player development in Ottawa region | Statement: [Atlético Ottawa, hasYouthFocus, player development in Ottawa region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthFocus Context triple: [Atlético Ottawa, hasYouthFocus, player development in Ottawa region]
-
A.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
B.
hasAgeFocus
chosen
Indicates a relationship where something is characterized or distinguished by a particular age group or age-related emphasis.
-
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.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
E.
hasLowerAge
Indicates that one entity is younger in age than another entity.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.