Triple
T31733525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Democrat Coalition |
E809923
|
entity |
| Predicate | positionOnDeficit |
P20467
|
FINISHED |
| Object | supports deficit reduction measures |
—
|
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: supports deficit reduction measures | Statement: [New Democrat Coalition, positionOnDeficit, supports deficit reduction measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnDeficit Context triple: [New Democrat Coalition, positionOnDeficit, supports deficit reduction measures]
-
A.
positionOnSpending
Indicates a stance or viewpoint an entity holds regarding levels or patterns of spending, such as how much should be spent and on what.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionOnReason
Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
-
D.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
E.
positionOnIssue
chosen
Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 30, 2026, 11:22 p.m.