Triple
T16336525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morningside Group |
E396691
|
entity |
| Predicate | hasInvestmentInstrument |
P67141
|
FINISHED |
| Object | equity investments |
—
|
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 investments | Statement: [Morningside Group, hasInvestmentInstrument, equity investments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestmentInstrument Context triple: [Morningside Group, hasInvestmentInstrument, equity investments]
-
A.
hasFinancialInstrumentType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of financial instrument.
-
B.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
-
C.
hasInvestmentTheme
Indicates that an investment, fund, or financial product is associated with a particular overarching theme or strategic focus (such as technology, sustainability, or healthcare).
-
D.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
E.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.