Triple
T4155036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid Agreement |
E91395
|
entity |
| Predicate | registrationSystemType |
P27278
|
FINISHED |
| Object | centralized international trademark registration system |
—
|
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: centralized international trademark registration system | Statement: [Madrid Agreement, registrationSystemType, centralized international trademark registration system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationSystemType Context triple: [Madrid Agreement, registrationSystemType, centralized international trademark registration system]
-
A.
registrationSystem
chosen
Indicates a system or process responsible for recording, managing, and maintaining registrations or enrollments for entities.
-
B.
registryType
Indicates the specific category or classification of a registry that an entity is associated with or recorded in.
-
C.
registrationMode
Indicates the method or process by which something is registered or enrolled.
-
D.
enrollmentType
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
E.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.