Triple
T12326574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il trittico |
E293843
|
entity |
| Predicate | intendedPerformanceMode |
P104495
|
FINISHED |
| Object | complete cycle in a single evening |
—
|
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: complete cycle in a single evening | Statement: [Il trittico, intendedPerformanceMode, complete cycle in a single evening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPerformanceMode Context triple: [Il trittico, intendedPerformanceMode, complete cycle in a single evening]
-
A.
typicalPerformanceMode
Indicates the usual or most common way in which an entity performs an action or operates.
-
B.
typicalPerformanceSetting
Indicates the usual or most common context, venue, or environment in which a performance or activity typically takes place.
-
C.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
-
D.
supportedMode
Indicates that a system, device, or component is capable of operating in or handling a particular mode.
-
E.
usedOnMode
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
- F. None of above. chosen
Provenance (4 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.