Triple
T19461644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D'Alema II Cabinet |
E486885
|
entity |
| Predicate | chamberOfDeputiesSupport |
P50318
|
FINISHED |
| Object | centre-left majority |
—
|
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: centre-left majority | Statement: [D'Alema II Cabinet, chamberOfDeputiesSupport, centre-left majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberOfDeputiesSupport Context triple: [D'Alema II Cabinet, chamberOfDeputiesSupport, centre-left majority]
-
A.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
B.
supportsCommittee
Indicates that one entity provides backing, endorsement, or assistance to a committee.
-
C.
coalitionSupportedBy
chosen
Indicates that a coalition receives backing, endorsement, or assistance from a specified supporting entity.
-
D.
numberOfSupportVotesInChamber
Indicates the count of votes cast in favor of a proposal within a specific legislative chamber.
-
E.
representedChamber
Indicates that one entity served as the legislative chamber or house in which another entity (such as a person or office) held representation or a seat.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c983f481908b2684dc4380b889 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.