Triple
T1050069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMV |
E22674
|
entity |
| Predicate | hasUnderlyingCompanyProductType |
P3504
|
FINISHED |
| Object | remote connectivity platform |
—
|
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: remote connectivity platform | Statement: [TMV, hasUnderlyingCompanyProductType, remote connectivity platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyProductType Context triple: [TMV, hasUnderlyingCompanyProductType, remote connectivity platform]
-
A.
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.
-
B.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
C.
underlyingAsset
Indicates that one asset serves as the fundamental reference or basis for the value, performance, or contractual terms of another financial instrument or derivative.
-
D.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
E.
hasParentCompany
Indicates that one company is owned or controlled by another company that serves as its parent organization.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.