Triple
T24774159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bekonscot model village |
E619809
|
entity |
| Predicate | donatesProfitsTo |
P54997
|
FINISHED |
| Object | charities |
—
|
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: charities | Statement: [Bekonscot model village, donatesProfitsTo, charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donatesProfitsTo Context triple: [Bekonscot model village, donatesProfitsTo, charities]
-
A.
donates
Indicates the act of voluntarily giving something of value, such as money, goods, or time, from one entity to another without expecting payment in return.
-
B.
philanthropicDonation
chosen
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
C.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
D.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
E.
hasCharitableComponent
Indicates that something includes or is associated with a charitable element, such as donations, philanthropy, or support for a charitable cause.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410d11c1c81908ff2c99c1b972b1c |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:33 a.m.