Triple
T12992264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State pension fund |
E321933
|
entity |
| Predicate | assetOwnerType |
P107930
|
FINISHED |
| Object | long-term asset owner |
—
|
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: long-term asset owner | Statement: [New York State pension fund, assetOwnerType, long-term asset owner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assetOwnerType Context triple: [New York State pension fund, assetOwnerType, long-term asset owner]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
C.
ownsAssetType
Indicates that an entity possesses ownership rights over an asset of a specified type.
-
D.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
E.
partOwner
Indicates that one entity holds a partial or shared ownership stake in another entity.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:44 p.m.