Triple
T5776842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Vivaldi |
E127462
|
entity |
| Predicate | numberOfViolinConcertosComposed |
P24148
|
FINISHED |
| Object | around 230 |
—
|
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: around 230 | Statement: [Antonio Vivaldi, numberOfViolinConcertosComposed, around 230]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfViolinConcertosComposed Context triple: [Antonio Vivaldi, numberOfViolinConcertosComposed, around 230]
-
A.
numberOfConcertosComposed
chosen
Indicates the total count of concertos that an entity has composed.
-
B.
numberOfSymphonies
Indicates the total count of symphonies associated with a given entity.
-
C.
numberOfFugues
Indicates the quantity of fugues associated with a given entity or context.
-
D.
numberOfCantiche
Indicates the total count of cantiche (major sections or cantos) associated with a given work or entity.
-
E.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.