Triple
T23343542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short-term Economic Survey of Enterprises in Japan |
E591796
|
entity |
| Predicate | coversEnterpriseSize |
P145324
|
FINISHED |
| Object | large enterprises |
—
|
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: large enterprises | Statement: [Short-term Economic Survey of Enterprises in Japan, coversEnterpriseSize, large enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversEnterpriseSize Context triple: [Short-term Economic Survey of Enterprises in Japan, coversEnterpriseSize, large enterprises]
-
A.
associatedWithCompanySize
chosen
Indicates that an entity has a relationship to, or is characterized or categorized by, the size of a company (e.g., small, medium, large).
-
B.
typicalCompanySize
Indicates the usual or most common number of employees associated with a company.
-
C.
typicalEnterprises
Indicates that an entity is a standard or representative example of enterprises within a given context or category.
-
D.
appliesToEmployerSize
Indicates that something (such as a rule, policy, or condition) is applicable only to employers of a specified size or within a defined employer size range.
-
E.
typeOfEnterpriseBuilt
Indicates the specific kind or category of enterprise that has been constructed or established.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983431f08190b0078728d44872a8 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:18 p.m.