Triple
T312645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Jules Verne |
E7639
|
entity |
| Predicate | paymentAccepted |
P5428
|
FINISHED |
| Object | credit cards |
—
|
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: credit cards | Statement: [Le Jules Verne, paymentAccepted, credit cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentAccepted Context triple: [Le Jules Verne, paymentAccepted, credit cards]
-
A.
paymentMethod
chosen
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
requiresPaymentOf
Indicates that one entity obligates another entity to provide a specified payment as a condition or requirement.
-
C.
authorizesFundingFor
Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
-
D.
revenuePaidTo
Indicates that a specified amount of revenue is paid or transferred from one entity to another as a recipient.
-
E.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.