Triple
T1454833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN (Whip Inflation Now) |
E31374
|
entity |
| Predicate | encouragedAction |
P836
|
FINISHED |
| Object | voluntary citizen 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: voluntary citizen measures | Statement: [WIN (Whip Inflation Now), encouragedAction, voluntary citizen measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragedAction Context triple: [WIN (Whip Inflation Now), encouragedAction, voluntary citizen measures]
-
A.
encourages
chosen
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
causeOfAction
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
-
C.
motivated
Indicates that one entity provides a reason, drive, or incentive that causes another entity to act or behave in a certain way.
-
D.
recommendedAction
Indicates that one entity suggests or prescribes a particular action for another entity to take.
-
E.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57fead881909a47188ce7312406 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.