Triple
T9324852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of State (Italy) |
E224360
|
entity |
| Predicate | advisoryFunction |
P488
|
FINISHED |
| Object | gives opinions on draft legislation |
—
|
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: gives opinions on draft legislation | Statement: [Council of State (Italy), advisoryFunction, gives opinions on draft legislation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advisoryFunction Context triple: [Council of State (Italy), advisoryFunction, gives opinions on draft legislation]
-
A.
advisoryProcess
Indicates a relationship where one party provides guidance, recommendations, or expert advice to another through a structured consultative process.
-
B.
advises
chosen
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
C.
hasAdvice
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
D.
advisorOf
Indicates that one entity serves as an advisor, providing guidance or counsel, to another entity.
-
E.
claimedFunction
Indicates that one entity asserts or describes a particular role, purpose, or function for another entity, regardless of whether that function is verified or actual.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f77c808190aa5489c4305fd67d |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.