Triple
T5768643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecosia |
E127272
|
entity |
| Predicate | donationTarget |
P17117
|
FINISHED |
| Object | tree-planting 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: tree-planting organizations | Statement: [Ecosia, donationTarget, tree-planting organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donationTarget Context triple: [Ecosia, donationTarget, tree-planting organizations]
-
A.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
B.
philanthropicGoal
chosen
Indicates a relationship where an action, initiative, or entity is directed toward achieving a charitable or socially beneficial objective.
-
C.
donatedToState
Indicates that an entity has given or transferred something, such as money, goods, or assets, as a donation to a state or state-level governmental body.
-
D.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
-
E.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.