Triple
T5763376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La stravaganza |
E127148
|
entity |
| Predicate | hasKeyDiversity |
P64047
|
FINISHED |
| Object | multiple major and minor keys |
—
|
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: multiple major and minor keys | Statement: [La stravaganza, hasKeyDiversity, multiple major and minor keys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyDiversity Context triple: [La stravaganza, hasKeyDiversity, multiple major and minor keys]
-
A.
hasInternalDiversity
chosen
Indicates that an entity contains multiple distinct types, elements, or subgroups within itself, rather than being uniform or homogeneous.
-
B.
hasKeyDua
Indicates that one entity possesses or is associated with a specific secondary or backup key related to another entity.
-
C.
hasKeyInfrastructure
Indicates that an entity possesses or is associated with essential infrastructure components critical for its operation or function.
-
D.
hasEntropy
Indicates that an entity possesses or is characterized by a certain amount or state of entropy, typically reflecting its degree of disorder or uncertainty.
-
E.
hasKeyInvention
Indicates that an entity possesses or is associated with a primary or crucial invention.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.