Triple
T1141805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States men's national under-19 basketball team |
E23467
|
entity |
| Predicate | jerseyType |
P7617
|
FINISHED |
| Object | national team jersey |
—
|
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: national team jersey | Statement: [United States men's national under-19 basketball team, jerseyType, national team jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyType Context triple: [United States men's national under-19 basketball team, jerseyType, national team jersey]
-
A.
jersey
chosen
Indicates that one entity is the jersey (sports uniform top) associated with, worn by, or representing another entity.
-
B.
jerseyFeature
Indicates that one entity has a specific design element, attribute, or characteristic present on a jersey.
-
C.
jerseySignificance
Indicates the importance, meaning, or symbolic value associated with a particular jersey in a given context.
-
D.
jaegerType
Indicates the specific classification or category of Jaeger associated with an entity.
-
E.
oreType
Indicates the specific kind or classification of ore associated with an 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4d414881908fc636e8ccbc4c34 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.