Triple
T7020681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M&G Real Estate |
E162813
|
entity |
| Predicate | investmentVehicle |
P69262
|
FINISHED |
| Object | open-ended real estate funds |
—
|
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: open-ended real estate funds | Statement: [M&G Real Estate, investmentVehicle, open-ended real estate funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentVehicle Context triple: [M&G Real Estate, investmentVehicle, open-ended real estate funds]
-
A.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
investmentOptions
chosen
Indicates that one entity offers, defines, or is associated with possible ways another entity can allocate resources or capital.
-
C.
vestments
Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
-
D.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
-
E.
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.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.