Triple
T17259162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vauxhall Zafira |
E418964
|
entity |
| Predicate | practicality |
P85768
|
FINISHED |
| Object | high luggage capacity with rear seats folded |
—
|
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: high luggage capacity with rear seats folded | Statement: [Vauxhall Zafira, practicality, high luggage capacity with rear seats folded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practicality Context triple: [Vauxhall Zafira, practicality, high luggage capacity with rear seats folded]
-
A.
utility
chosen
Indicates that something provides usefulness, benefit, or practical value to an entity or in a given context.
-
B.
workability
Indicates that something is capable of functioning effectively or being put into practical use as intended.
-
C.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
D.
ability
Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
-
E.
publicUtility
Indicates that an entity provides essential services or infrastructure for the general public’s use and benefit, typically under public regulation or oversight.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ea7588190a94d222504a8cef5 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.