Triple
T4294927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of the Republic of Italy |
E99686
|
entity |
| Predicate | mustGrant |
P55290
|
FINISHED |
| Object | confidence to the Government of Italy |
—
|
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: confidence to the Government of Italy | Statement: [Senate of the Republic of Italy, mustGrant, confidence to the Government of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustGrant Context triple: [Senate of the Republic of Italy, mustGrant, confidence to the Government of Italy]
-
A.
grantedWith
Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
-
B.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
C.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
D.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
E.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35083f87c8190a3d3b323e76ab575 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.