Triple
T19585824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warburg Pincus |
E490101
|
entity |
| Predicate | numberOfPortfolioCompanies |
P17464
|
FINISHED |
| Object | more than 200 |
—
|
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: more than 200 | Statement: [Warburg Pincus, numberOfPortfolioCompanies, more than 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPortfolioCompanies Context triple: [Warburg Pincus, numberOfPortfolioCompanies, more than 200]
-
A.
hasNumberOfCompanies
chosen
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
-
B.
portfolioCompany
Indicates that one entity is a company in which another entity (typically an investor or investment fund) holds an ownership stake as part of its investment portfolio.
-
C.
brandPortfolioSize
Indicates the number of distinct brands included within an entity’s overall brand portfolio.
-
D.
numberOfCoFounders
Indicates the count of individuals who jointly founded a given entity.
-
E.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640513134819082cf233fa3dcc911 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.