Triple
T15242811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classified Ventures (stake) |
E364299
|
entity |
| Predicate | assetCategory |
P15055
|
FINISHED |
| Object | investment in unconsolidated affiliate |
—
|
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: investment in unconsolidated affiliate | Statement: [Classified Ventures (stake), assetCategory, investment in unconsolidated affiliate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assetCategory Context triple: [Classified Ventures (stake), assetCategory, investment in unconsolidated affiliate]
-
A.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
B.
asset
Indicates that one entity is a valuable resource, item, or property owned, controlled, or beneficially used by another entity.
-
C.
acquisitionCategory
Indicates the type or classification of an acquisition associated with an entity or transaction.
-
D.
artifactType
Indicates the specific kind or category of artifact that an entity is classified as.
-
E.
artCategory
Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.