Triple
T200540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economist Educational Foundation |
E4095
|
entity |
| Predicate | hasBeneficiaries |
P7910
|
FINISHED |
| Object | students from diverse backgrounds |
—
|
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: students from diverse backgrounds | Statement: [Economist Educational Foundation, hasBeneficiaries, students from diverse backgrounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeneficiaries Context triple: [Economist Educational Foundation, hasBeneficiaries, students from diverse backgrounds]
-
A.
beneficiaries
chosen
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
B.
primaryBeneficiaries
Indicates which entities are the main recipients or advantaged parties resulting from a particular action, resource, or arrangement.
-
C.
hasBenefit
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
D.
hasAdherent
Indicates that an entity is a follower, supporter, or member attached to another entity (such as a person, organization, belief, or movement).
-
E.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.