Triple
T8342678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL Academy |
E195957
|
entity |
| Predicate | playerPathwayRole |
P18155
|
FINISHED |
| Object | bridge between grassroots and professional levels |
—
|
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: bridge between grassroots and professional levels | Statement: [USL Academy, playerPathwayRole, bridge between grassroots and professional levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerPathwayRole Context triple: [USL Academy, playerPathwayRole, bridge between grassroots and professional levels]
-
A.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
B.
hasPlayerPathway
chosen
Indicates that there is a defined developmental or progression route available for a player within a given context or system.
-
C.
portfolioRole
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
-
D.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.