Triple
T15930795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V8 engine |
E386317
|
entity |
| Predicate | isLessCommonIn |
P19183
|
FINISHED |
| Object | European passenger cars |
—
|
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: European passenger cars | Statement: [V8 engine, isLessCommonIn, European passenger cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLessCommonIn Context triple: [V8 engine, isLessCommonIn, European passenger cars]
-
A.
isLessCommonThan
chosen
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
B.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
C.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
D.
commonness
Indicates how frequently or typically something occurs or is found relative to other things.
-
E.
isLesserKnown
Indicates that one entity is less widely recognized, famous, or familiar than another comparable entity.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.