Triple
T5340965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate Committee on Appropriations |
E123942
|
entity |
| Predicate | drafts |
P3181
|
FINISHED |
| Object | legislation allocating federal funds |
—
|
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: legislation allocating federal funds | Statement: [Senate Committee on Appropriations, drafts, legislation allocating federal funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drafts Context triple: [Senate Committee on Appropriations, drafts, legislation allocating federal funds]
-
A.
draftsFrom
Indicates a relationship where one item is created, derived, or composed as a draft based on another source item.
-
B.
draft
chosen
Indicates that one entity prepares an initial or preliminary version of something, typically a document, plan, or design, which may be revised later.
-
C.
supportsDrafts
Indicates that an entity is capable of handling, saving, or working with draft versions of items before they are finalized.
-
D.
draftFrom
Indicates that one item is created, written, or formulated based on or derived from another source or version.
-
E.
draftSystem
Indicates a system or mechanism responsible for selecting, assigning, or organizing individuals for compulsory service, typically in a military or similar structured context.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.