Triple
T20575145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draghi Cabinet |
E505196
|
entity |
| Predicate | numberOfDeputyPrimeMinisters |
P80248
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Draghi Cabinet, numberOfDeputyPrimeMinisters, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDeputyPrimeMinisters Context triple: [Draghi Cabinet, numberOfDeputyPrimeMinisters, 2]
-
A.
deputyPrimeMinister
Indicates that one entity serves as the deputy prime minister (second-in-command in the government’s executive leadership) of another political body or jurisdiction.
-
B.
hasNumberOfMinisters
Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
-
C.
hasDeputyChiefMinister
Indicates that an entity serves as the deputy chief minister of another entity (typically a political jurisdiction or government).
-
D.
hasNumberOfDeputies
chosen
Indicates the specific count of deputies associated with or assigned to an entity.
-
E.
deputyPremier
Indicates that one entity holds the position of deputy premier in relation to a specified political jurisdiction or governing body.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a909785c8190a02b1195eadb384c |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.