Triple
T11658053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juniper Networks board of directors |
E277057
|
entity |
| Predicate | belongsToCompanyType |
P100243
|
FINISHED |
| Object | public technology 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: public technology company | Statement: [Juniper Networks board of directors, belongsToCompanyType, public technology company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCompanyType Context triple: [Juniper Networks board of directors, belongsToCompanyType, public technology company]
-
A.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
B.
hasUnderlyingCompanyEmployeeType
Indicates that an entity is associated with a specific type or category of company employee that underlies or characterizes its role or status.
-
C.
belongsToCompanyLegalForm
Indicates that an entity is associated with or classified under a specific legal form of a company.
-
D.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
E.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.