Triple
T35727265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PB-39 |
E1032647
|
entity |
| Predicate | platePlacement |
P30243
|
FINISHED |
| Object | vehicle registration plates |
—
|
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: vehicle registration plates | Statement: [PB-39, platePlacement, vehicle registration plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platePlacement Context triple: [PB-39, platePlacement, vehicle registration plates]
-
A.
stonePlacement
Indicates the spatial arrangement or positioning of stones relative to a reference or surface.
-
B.
plateLocation
chosen
Indicates the spatial position or placement of a plate relative to a reference location or object.
-
C.
plateFixedTo
Indicates that one object is securely attached to a plate so that they remain fixed together in position.
-
D.
stickPlacement
Indicates the spatial arrangement or positioning of a stick relative to other objects or a reference frame.
-
E.
plate3
Indicates that one entity is a third plate or dish associated with, supporting, or serving another entity in a given context.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.