Triple
T12390040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian decorations for valor |
E295967
|
entity |
| Predicate | awardProcess |
P104707
|
FINISHED |
| Object | conferred by decree of the President of the Republic |
—
|
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: conferred by decree of the President of the Republic | Statement: [Italian decorations for valor, awardProcess, conferred by decree of the President of the Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardProcess Context triple: [Italian decorations for valor, awardProcess, conferred by decree of the President of the Republic]
-
A.
awardForm
Indicates that one entity is the specific form, type, or category of an award associated with another entity.
-
B.
awardCycle
Indicates the recurring period or schedule on which an award is granted or evaluated.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
awardOutcome
Indicates the result or consequence of giving an award, such as whether it was granted, denied, or its final status.
-
E.
awardConferred
Indicates that an award or honor has been formally granted by one entity 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.