Triple
T14785731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinven |
E347517
|
entity |
| Predicate | typicalInvestmentType |
P4851
|
FINISHED |
| Object | large-cap companies |
—
|
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: large-cap companies | Statement: [Cinven, typicalInvestmentType, large-cap companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInvestmentType Context triple: [Cinven, typicalInvestmentType, large-cap companies]
-
A.
investmentType
chosen
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
typeOfInvestor
Indicates the kind or category of investor that a given entity is classified as.
-
C.
typicalHoldingsType
Indicates the usual or most common category of holdings associated with an entity or account.
-
D.
inversionType
Indicates the specific kind or category of inversion relationship that holds between entities, such as one being the reverse, opposite, or role-swapped form of the other.
-
E.
typicalInvestmentSize
Indicates the usual or most common amount of money invested in a single investment or deal.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.