Triple
T23086440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grecale Modena |
E575615
|
entity |
| Predicate | performanceLevelRelativeToBase |
P25304
|
FINISHED |
| Object | higher power output than Grecale GT |
—
|
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 power output than Grecale GT | Statement: [Grecale Modena, performanceLevelRelativeToBase, higher power output than Grecale GT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceLevelRelativeToBase Context triple: [Grecale Modena, performanceLevelRelativeToBase, higher power output than Grecale GT]
-
A.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
B.
performanceBasis
Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
-
C.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given context.
-
D.
relativeLevel
chosen
Indicates a comparative relationship specifying how one entity’s level, degree, or intensity of some property stands relative to that of another entity.
-
E.
featureLevelComparedTo
Indicates a comparative relationship between entities based on their feature level, specifying how one entity’s feature level ranks relative to another’s.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da652ac819085919ade6dd7bce4 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.