Triple
T25713337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invisible |
E644791
|
entity |
| Predicate | donationPerDownload |
P158999
|
FINISHED |
| Object | 1 USD |
—
|
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: 1 USD | Statement: [Invisible, donationPerDownload, 1 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donationPerDownload Context triple: [Invisible, donationPerDownload, 1 USD]
-
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.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
C.
donated
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
-
D.
donationStyle
Indicates the characteristic manner or approach with which a donation is given or carried out.
-
E.
monetaryValuePerRecipient
Indicates the amount of money allocated or given to each individual recipient in a distribution or transaction.
- F. None of above. chosen
Provenance (4 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc6008a4819084116248372fdd78 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 9:21 p.m.