Triple
T1404204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protected Designation of Origin |
E31652
|
entity |
| Predicate | registrationProcess |
P10740
|
FINISHED |
| Object | application by producer groups |
—
|
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: application by producer groups | Statement: [Protected Designation of Origin, registrationProcess, application by producer groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationProcess Context triple: [Protected Designation of Origin, registrationProcess, application by producer groups]
-
A.
register
Indicates that an entity formally records or enrolls another entity or itself in an official system, list, or record.
-
B.
registrationEffect
Indicates the outcome or consequence that results from an entity being registered or from the act of registration taking place.
-
C.
registrationMode
chosen
Indicates the method or process by which something is registered or enrolled.
-
D.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
-
E.
boardingProcess
Indicates the process or sequence of actions by which passengers move from a waiting area onto a vehicle (such as an airplane, train, or bus).
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.