Triple
T27660814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOCU |
E697116
|
entity |
| Predicate | underlyingCompanySpecializesIn |
P63924
|
FINISHED |
| Object | e-signature technology |
—
|
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: e-signature technology | Statement: [DOCU, underlyingCompanySpecializesIn, e-signature technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingCompanySpecializesIn Context triple: [DOCU, underlyingCompanySpecializesIn, e-signature technology]
-
A.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
B.
associatedCompanySpecialization
chosen
Indicates that a company is linked to a particular area of specialization or expertise.
-
C.
underlyingCompanyProvides
Indicates that an underlying company supplies or makes available a product, service, or resource to another party or entity.
-
D.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
E.
underlyingCompanyBusinessFocus
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 2:36 p.m.