Triple
T6749582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NL |
E154307
|
entity |
| Predicate | vehicleCodeStandard |
P29485
|
FINISHED |
| Object | international distinguishing sign for motor vehicles |
—
|
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: international distinguishing sign for motor vehicles | Statement: [NL, vehicleCodeStandard, international distinguishing sign for motor vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleCodeStandard Context triple: [NL, vehicleCodeStandard, international distinguishing sign for motor vehicles]
-
A.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
B.
vehicleStandard
chosen
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
C.
vehicleRegistrationCategory
Indicates the classification or type of registration assigned to a vehicle under a specific regulatory or administrative scheme.
-
D.
usesCodeOnPlates
Indicates that an entity applies or employs a specific code or coding system on plates.
-
E.
vehicleIdentificationRole
Indicates a role in which an entity serves to identify, label, or distinguish a vehicle within a given context or system.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.