Triple
T18505513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Freak |
E452187
|
entity |
| Predicate | salesCertificationFrance |
P64811
|
FINISHED |
| Object | SNEP Gold |
—
|
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: SNEP Gold | Statement: [Le Freak, salesCertificationFrance, SNEP Gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesCertificationFrance Context triple: [Le Freak, salesCertificationFrance, SNEP Gold]
-
A.
certificationFrance
chosen
Indicates that an entity holds or is associated with a certification that is specifically recognized, issued, or valid in France.
-
B.
certificationSwitzerland
Indicates that an entity holds or is associated with a certification that is valid, issued, or recognized in Switzerland.
-
C.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
D.
salesCertificationContext
Indicates the contextual relationship in which a sales-related certification is obtained, applied, or relevant.
-
E.
reservedToFrance
Indicates that something is exclusively allocated or designated for France.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341b6c48190b7da42f5df923e81 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.