Triple
T6790682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permira |
E155921
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Permira Credit |
E155921
|
NE 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: Permira Credit | Statement: [Permira, hasDivision, Permira Credit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Permira Credit Context triple: [Permira, hasDivision, Permira Credit]
-
A.
Permira
chosen
Permira is a global private equity firm that invests in and acquires businesses across sectors such as technology, consumer, healthcare, and financial services.
-
B.
NextEquity Partners
NextEquity Partners is a venture capital and private equity firm known for investing in growth-stage technology and innovation-driven companies.
-
C.
Warburg Pincus
Warburg Pincus is a global private equity firm known for growth investing across a wide range of industries and regions.
-
D.
Cinven
Cinven is a leading European private equity firm known for acquiring and developing large companies across various sectors.
-
E.
Veritas Capital
Veritas Capital is a private equity firm that specializes in investing in technology and government-related companies, particularly in sectors like healthcare, defense, and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.