Triple
T12451722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNA |
E297547
|
entity |
| Predicate | companyListingType |
P66662
|
FINISHED |
| Object | publicly traded company |
—
|
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: publicly traded company | Statement: [UNA, companyListingType, publicly traded company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyListingType Context triple: [UNA, companyListingType, publicly traded company]
-
A.
listsCompaniesFrom
Indicates that an entity provides or displays a collection of companies originating from or associated with a specified source or location.
-
B.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
underlyingCompanyType
chosen
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
E.
companyIncorporatedIn
Indicates that a company was legally formed and registered in a specified jurisdiction or location.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.