Triple
T19129886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shotoku Baizō Keikaku |
E468286
|
entity |
| Predicate | typeOfGrowth |
P26502
|
FINISHED |
| Object | high-speed economic growth |
—
|
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: high-speed economic growth | Statement: [Shotoku Baizō Keikaku, typeOfGrowth, high-speed economic growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGrowth Context triple: [Shotoku Baizō Keikaku, typeOfGrowth, high-speed economic growth]
-
A.
growthType
chosen
Indicates the manner or pattern in which something develops or increases over time.
-
B.
growthMethod
Indicates the method or process by which something increases, develops, or expands over time.
-
C.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
D.
hasGrowthRate
Indicates the rate at which something increases in size, quantity, or value over a given period of time.
-
E.
growthStatus
Indicates the current stage or condition of development or progress of an entity over time.
- 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_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. |
Created at: April 10, 2026, 12:05 p.m.