Triple
T8361169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Baudouin Foundation |
E197008
|
entity |
| Predicate | supportsBeneficiaries |
P7910
|
FINISHED |
| Object | non-profit organizations |
—
|
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: non-profit organizations | Statement: [King Baudouin Foundation, supportsBeneficiaries, non-profit organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBeneficiaries Context triple: [King Baudouin Foundation, supportsBeneficiaries, non-profit organizations]
-
A.
beneficiaries
chosen
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
B.
eligibleBeneficiaries
Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
-
C.
canHaveBeneficiary
Indicates that an entity is capable of having another party designated as its beneficiary, who may receive benefits, rights, or proceeds associated with it.
-
D.
primaryBeneficiaries
Indicates which entities are the main recipients or advantaged parties resulting from a particular action, resource, or arrangement.
-
E.
beneficiaryRequirement
Indicates that one entity has a requirement specifying who or what must be the beneficiary of a particular action, service, or resource.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80728eb081909bae6aae45848fab |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.