Triple
T4399219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simpson–Bowles deficit reduction plan |
E99570
|
entity |
| Predicate | receivedCommissionSupport |
P1704
|
FINISHED |
| Object | 11 of 18 members |
—
|
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: 11 of 18 members | Statement: [Simpson–Bowles deficit reduction plan, receivedCommissionSupport, 11 of 18 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedCommissionSupport Context triple: [Simpson–Bowles deficit reduction plan, receivedCommissionSupport, 11 of 18 members]
-
A.
receivedSupportFrom
chosen
Indicates that one entity obtained help, resources, or backing from another entity.
-
B.
unit2Commissioned
Indicates that a second unit has been formally placed into active service or operation.
-
C.
commissionedBy
Indicates that one entity has been formally requested, authorized, or hired by another entity to create, perform, or carry out something.
-
D.
relatedCommission
Indicates that one commission is connected or associated with another commission in a relevant contextual or functional way.
-
E.
commissionsAs
Indicates that one entity formally authorizes or hires another entity to create, perform, or carry out a specific work, task, or service.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352cc4ab081908bc45d2f76cd4da8 |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:20 p.m.