Triple
T28475340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Legislature of the Italian Republic |
E720544
|
entity |
| Predicate | parliamentaryChamberCount |
P24196
|
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: [First Legislature of the Italian Republic, parliamentaryChamberCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parliamentaryChamberCount Context triple: [First Legislature of the Italian Republic, parliamentaryChamberCount, 2]
-
A.
numberOfLegislativeChambers
chosen
Indicates the quantity of distinct legislative chambers that a given political or legislative body possesses.
-
B.
numberOfPartiesInChamber
Indicates the total count of distinct parties represented within a specific legislative chamber.
-
C.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given entity.
-
D.
chamberNumberInParliament
Indicates the specific chamber within a parliamentary body in which an entity (such as a member or action) is situated or associated.
-
E.
hasLegislativeChamberSeats
Indicates that a legislative chamber holds or is allocated a specified number of seats.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 2:51 a.m.