Triple
T37010027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenBSD Foundation |
E915915
|
entity |
| Predicate | hasDonationProgram |
P121624
|
FINISHED |
| Object | corporate sponsorship tiers |
—
|
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: corporate sponsorship tiers | Statement: [OpenBSD Foundation, hasDonationProgram, corporate sponsorship tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDonationProgram Context triple: [OpenBSD Foundation, hasDonationProgram, corporate sponsorship tiers]
-
A.
hasPhilanthropicProgram
chosen
Indicates that an entity operates or participates in an organized initiative aimed at providing charitable or philanthropic support.
-
B.
hasCharitableProgramType
Indicates that an entity’s charitable program belongs to or is categorized under a specific type of charitable activity or program classification.
-
C.
isDonorProgramOf
Indicates that one entity is a donor program that provides funding or resources to support another entity.
-
D.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
E.
hasAwardProgram
Indicates that an entity maintains or offers a formal award or recognition program.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:14 p.m.