Triple
T38284882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Corporation certification |
E1022176
|
entity |
| Predicate | targetsCompanySizeRange |
P74492
|
FINISHED |
| Object | small 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: small enterprises | Statement: [B Corporation certification, targetsCompanySizeRange, small enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsCompanySizeRange Context triple: [B Corporation certification, targetsCompanySizeRange, small enterprises]
-
A.
typicalCompanySize
Indicates the usual or most common number of employees associated with a company.
-
B.
associatedWithCompanySize
Indicates that an entity has a relationship to, or is characterized or categorized by, the size of a company (e.g., small, medium, large).
-
C.
appliesToEmployerSize
chosen
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.
-
D.
targetCompanies
Indicates that certain companies are the intended focus or recipients of a particular action, effort, or objective.
-
E.
hasNumberOfCompanies
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 3, 2026, 4:30 p.m.