Triple
T20543333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA Gymnastics National Team Training Center |
E504401
|
entity |
| Predicate | targetAthleteLevel |
P4144
|
FINISHED |
| Object | elite |
—
|
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: elite | Statement: [USA Gymnastics National Team Training Center, targetAthleteLevel, elite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAthleteLevel Context triple: [USA Gymnastics National Team Training Center, targetAthleteLevel, elite]
-
A.
competitionLevelOf
Indicates the degree or intensity of competitiveness associated with an entity, event, or context.
-
B.
trainingLevel
chosen
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
D.
representsSportLevel
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
-
E.
competitionLevelRelativeToAmateur
Indicates the degree to which something’s level of competition differs from that of an amateur level.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a293feac8190b27848b64f2db1fe |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.