Triple
T19129864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan achieved income doubling ahead of schedule |
E468285
|
entity |
| Predicate | policySlogan |
P134523
|
FINISHED |
| Object | income doubling |
—
|
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: income doubling | Statement: [Japan achieved income doubling ahead of schedule, policySlogan, income doubling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policySlogan Context triple: [Japan achieved income doubling ahead of schedule, policySlogan, income doubling]
-
A.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
B.
policyAim
Indicates that a policy is intended to achieve, promote, or be directed toward a particular goal or objective.
-
C.
campaignSloganProponents
Indicates that certain entities advocate for, support, or promote a particular campaign slogan.
-
D.
sloganScope
Indicates the contextual scope or domain within which a particular slogan is intended to apply or be used.
-
E.
sloganInspired
Indicates that one slogan was created, influenced, or shaped by ideas, style, or content drawn from another source.
- F. None of above. chosen
Provenance (4 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3e8c49481908b6be87af54d12cf |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.