Triple
T13431328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Family Holdings |
E313616
|
entity |
| Predicate | typeOfOwnershipEntity |
P107930
|
FINISHED |
| Object | family-owned holding 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: family-owned holding company | Statement: [Green Family Holdings, typeOfOwnershipEntity, family-owned holding company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOwnershipEntity Context triple: [Green Family Holdings, typeOfOwnershipEntity, family-owned holding company]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
assetOwnerType
chosen
Indicates the type or category of entity that owns or holds the asset.
-
C.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
D.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
E.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.