Triple
T470233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL Premier Development League |
E8538
|
entity |
| Predicate | tierInUSSoccerPyramid |
P10472
|
FINISHED |
| Object | pre-professional level |
—
|
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: pre-professional level | Statement: [USL Premier Development League, tierInUSSoccerPyramid, pre-professional level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInUSSoccerPyramid Context triple: [USL Premier Development League, tierInUSSoccerPyramid, pre-professional level]
-
A.
athleticAssociationTier
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
B.
leagueType
chosen
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
C.
allianceTierNames
Indicates the specific tier or level designation assigned within an alliance structure.
-
D.
aboveLeague
Indicates that one entity is in a higher league, tier, or competitive level than another.
-
E.
stateLeague
Indicates that a sports team or club competes in, or is affiliated with, a particular state-level league or competition.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.