Triple
T9935481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmès II Government |
E192748
|
entity |
| Predicate | numberOfAbstentionsInChamber |
P5056
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Wilmès II Government, numberOfAbstentionsInChamber, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAbstentionsInChamber Context triple: [Wilmès II Government, numberOfAbstentionsInChamber, 12]
-
A.
committedAbstentionFrom
Indicates that an entity has formally pledged or undertaken a deliberate abstention from performing a particular action or engaging in a specified activity.
-
B.
abstentions
chosen
Indicates that certain eligible participants chose not to cast a vote or express a position in a decision-making process.
-
C.
requiresAbstentionFrom
Indicates that one entity imposes or necessitates refraining from a specific action, behavior, or substance by another entity.
-
D.
numberOfDelegatesOpposingRatification
Indicates the count of delegates who are against approving or ratifying a particular proposal, agreement, or decision.
-
E.
clotureThreshold
Indicates the minimum number or proportion of votes required to end debate and proceed to a final decision on a proposal.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e3bfa88190a88f20f2687a2583 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.