Triple
T32838155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zrt. |
E839891
|
entity |
| Predicate | corporateFormCategory |
P140943
|
FINISHED |
| Object | for-profit 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: for-profit company | Statement: [Zrt., corporateFormCategory, for-profit company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporateFormCategory Context triple: [Zrt., corporateFormCategory, for-profit company]
-
A.
corporateStructure
Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
-
B.
corporateBodyOf
Indicates that one entity is the corporate body (such as an organization or institution) to which another entity is formally affiliated or belongs.
-
C.
incorporationType
Indicates the legal form or category under which an entity is formally incorporated or registered as an organization.
-
D.
typeOfBusinessOrganization
chosen
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
-
E.
corporateGroupType
Indicates the classification of a corporate group according to its organizational or legal type.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.