Triple
T28475345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Legislature of the Italian Republic |
E720544
|
entity |
| Predicate | typeOfGovernmentActivity |
P197511
|
FINISHED |
| Object | lawmaking |
—
|
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: lawmaking | Statement: [First Legislature of the Italian Republic, typeOfGovernmentActivity, lawmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGovernmentActivity Context triple: [First Legislature of the Italian Republic, typeOfGovernmentActivity, lawmaking]
-
A.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
B.
administeringCountryGovernmentType
Indicates the form or system of government of the country that administers or governs a given territory or entity.
-
C.
featuresGovernmentType
Indicates that an entity has or is characterized by a particular form or system of government.
-
D.
targetGovernmentType
Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
-
E.
typeOfGovernmentCenter
Indicates the specific form or classification of governmental authority that a particular administrative center serves or represents.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: April 28, 2026, 2:51 a.m.