Triple
T8928989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi S models |
E212604
|
entity |
| Predicate | performanceLevelComparedToBase |
P28765
|
FINISHED |
| Object | higher horsepower |
—
|
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: higher horsepower | Statement: [Audi S models, performanceLevelComparedToBase, higher horsepower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceLevelComparedToBase Context triple: [Audi S models, performanceLevelComparedToBase, higher horsepower]
-
A.
featureLevelComparedTo
chosen
Indicates a comparative relationship between entities based on their feature level, specifying how one entity’s feature level ranks relative to another’s.
-
B.
performanceFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
C.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given context.
-
D.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
E.
performanceClass
Indicates the category or level of performance to which an entity is assigned, typically reflecting its capabilities or quality tier.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc667470308190a75ba63de803e3a2 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:57 p.m.