Triple
T2371719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon 529 college savings programs |
E46103
|
entity |
| Predicate | investmentOptionType |
P4851
|
FINISHED |
| Object | age-based portfolios |
—
|
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: age-based portfolios | Statement: [Oregon 529 college savings programs, investmentOptionType, age-based portfolios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentOptionType Context triple: [Oregon 529 college savings programs, investmentOptionType, age-based portfolios]
-
A.
investmentType
chosen
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
C.
investment
Indicates a relationship where one party allocates resources (such as money, time, or effort) into something with the expectation of future benefit or return.
-
D.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
E.
investmentHorizon
Indicates the typical time period over which an investment is expected to be held before its goals are evaluated or the capital is withdrawn.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc771302481908540e31abb5aeeba |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.