Triple
T15842438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauber Motorsport |
E384130
|
entity |
| Predicate | nationalLicense |
P67319
|
FINISHED |
| Object | Swiss |
—
|
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: Swiss | Statement: [Sauber Motorsport, nationalLicense, Swiss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalLicense Context triple: [Sauber Motorsport, nationalLicense, Swiss]
-
A.
nrcLicenseNumber
Indicates that an entity is associated with a specific license number issued by the U.S. Nuclear Regulatory Commission (NRC).
-
B.
stateOfLicense
chosen
Indicates the jurisdiction or state that has issued or governs the relevant license.
-
C.
typeOfLicense
Indicates the specific kind or category of license associated with an entity.
-
D.
licenseFamily
Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
-
E.
license
Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.