Triple
T20082581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbriar Equity Group |
E500038
|
entity |
| Predicate | targetCompanyGeography |
P51850
|
FINISHED |
| Object | primarily United States-based companies |
—
|
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: primarily United States-based companies | Statement: [Greenbriar Equity Group, targetCompanyGeography, primarily United States-based companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCompanyGeography Context triple: [Greenbriar Equity Group, targetCompanyGeography, primarily United States-based companies]
-
A.
targetCompanies
chosen
Indicates that certain companies are the intended focus or recipients of a particular action, effort, or objective.
-
B.
employerInRegion
Indicates that an employer operates or has its primary business presence within a specified geographic region.
-
C.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
D.
majorCompanyLocatedIn
Indicates that a major company has its primary presence or headquarters in a specified location.
-
E.
countryOfHeadquartersOfEmployer
Indicates the country where the employing organization’s main headquarters is located.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e665588a9c8190886b693b13a215a8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:41 p.m.