Triple
T1808235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Business Investment Company Program |
E40269
|
entity |
| Predicate | investmentInstruments |
P4851
|
FINISHED |
| Object | equity |
—
|
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: equity | Statement: [Small Business Investment Company Program, investmentInstruments, equity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentInstruments Context triple: [Small Business Investment Company Program, investmentInstruments, equity]
-
A.
investmentType
chosen
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
tradeInstrument
Indicates a relationship where one entity is used as a financial or commercial instrument in a trade or transaction involving another entity.
-
C.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
D.
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.
-
E.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.