Triple
T21754138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il ratto d’Europa |
E536991
|
entity |
| Predicate | coinvolgeTrasformazione |
P145131
|
FINISHED |
| Object | Zeus in toro bianco |
—
|
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: Zeus in toro bianco | Statement: [Il ratto d’Europa, coinvolgeTrasformazione, Zeus in toro bianco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinvolgeTrasformazione Context triple: [Il ratto d’Europa, coinvolgeTrasformazione, Zeus in toro bianco]
-
A.
coinedIn
Indicates that something (typically a term, phrase, or name) was first created or introduced at a particular time or in a particular place.
-
B.
currencyTransition
Indicates a change from one currency to another within a transaction, system, or context.
-
C.
convertibility
Indicates the capacity or possibility for one entity, state, or form to be changed or transformed into another.
-
D.
chain
Indicates that one entity is linked or connected in sequence to another, typically as part of a series or chain of related elements or actions.
-
E.
coinOrPopularize
Indicates that an entity either originally creates and names a term or concept, or helps make an existing term or concept widely known and commonly used.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:50 p.m.