Triple
T29324412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicepresidente del Consiglio dei ministri |
E743602
|
entity |
| Predicate | titoloOnorifico |
P2097
|
FINISHED |
| Object | Onorevole |
—
|
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: Onorevole | Statement: [Vicepresidente del Consiglio dei ministri, titoloOnorifico, Onorevole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titoloOnorifico Context triple: [Vicepresidente del Consiglio dei ministri, titoloOnorifico, Onorevole]
-
A.
honorificTitle
chosen
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
B.
honoursTitle
Indicates that an entity holds or is designated by a formal honorific or honorary title.
-
C.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
D.
epithetOrTitle
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
-
E.
titularyPosition
Indicates that one entity holds a formal or ceremonial title or position in relation to another entity.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66894ce4c8190b1104ea889b98a8e |
completed | May 2, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:25 p.m.