Triple
T1329247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SP |
E28602
|
entity |
| Predicate | registrationSystem |
P27278
|
FINISHED |
| Object | Polish aircraft 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: Polish aircraft registration system | Statement: [SP, registrationSystem, Polish aircraft registration system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationSystem Context triple: [SP, registrationSystem, Polish aircraft registration system]
-
A.
register
Indicates that an entity formally records or enrolls another entity or itself in an official system, list, or record.
-
B.
registrationMode
Indicates the method or process by which something is registered or enrolled.
-
C.
registrationCategory
Indicates the classification or type under which an entity is formally registered within a system or registry.
-
D.
inscriptionLocation
Indicates the place or surface on which an inscription is written or engraved.
-
E.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
- F. None of above. chosen
Provenance (4 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.