Triple
T15835878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public-Private Investment Program |
E383982
|
entity |
| Predicate | targetedAssetType |
P15055
|
FINISHED |
| Object | legacy loans |
—
|
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: legacy loans | Statement: [Public-Private Investment Program, targetedAssetType, legacy loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedAssetType Context triple: [Public-Private Investment Program, targetedAssetType, legacy loans]
-
A.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
B.
governsAssetType
Indicates that one entity has authority or control over the rules, usage, or management of a particular type or class of asset.
-
C.
ownsAssetType
Indicates that an entity possesses ownership rights over an asset of a specified type.
-
D.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
E.
assetOwnerType
Indicates the type or category of entity that owns or holds the asset.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e0e1cc8190851b30b03cf9c9b8 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.