Triple
T84327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Deputies |
E1696
|
entity |
| Predicate | votingStructure |
P2726
|
FINISHED |
| Object | votes by orders in certain matters |
—
|
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: votes by orders in certain matters | Statement: [House of Deputies, votingStructure, votes by orders in certain matters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingStructure Context triple: [House of Deputies, votingStructure, votes by orders in certain matters]
-
A.
votingMethod
chosen
Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
-
B.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
C.
electoralBase
Indicates the group of voters or supporters that primarily backs or sustains a particular candidate, party, or political movement in elections.
-
D.
electoralPattern
Indicates a recurring or characteristic way in which elections or voting outcomes tend to occur or be distributed across contexts.
-
E.
hasVotingSystemLowerHouse
Indicates that a political entity’s lower legislative chamber uses a specified voting or electoral system.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4e73c081908d2da146226ef05e |
completed | Feb. 28, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69a24eb469548190b38c24e81f36c838 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.