Triple
T28964003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana, Princess of Wales Memorial Fund |
E731986
|
entity |
| Predicate | endowmentStrategy |
P166067
|
FINISHED |
| Object | time-limited spending of 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: time-limited spending of funds | Statement: [Diana, Princess of Wales Memorial Fund, endowmentStrategy, time-limited spending of funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endowmentStrategy Context triple: [Diana, Princess of Wales Memorial Fund, endowmentStrategy, time-limited spending of funds]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
endowmentAmount
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
C.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
D.
isEndowedBy
Indicates that something receives its funding, resources, or support from a particular source.
-
E.
hasEndowmentBeneficiary
Indicates that an entity is designated to receive benefits or distributions from another entity’s endowment.
- F. None of above. chosen
Provenance (4 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65c2ba88481908d767f66089cf54b |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:51 a.m.