Triple
T28293970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Wheat Fields, Auvers |
E713506
|
entity |
| Predicate | creator's country of citizenship |
P25114
|
FINISHED |
| Object | Netherlands |
—
|
NE NERFINISHED |
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: Netherlands | Statement: [Green Wheat Fields, Auvers, creator's country of citizenship, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creator's country of citizenship Context triple: [Green Wheat Fields, Auvers, creator's country of citizenship, Netherlands]
-
A.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
B.
creatorCountryOfCitizenship
chosen
Indicates the country in which the creator holds or held legal citizenship.
-
C.
coCreatorNationality
Indicates that two or more co-creators share the same national origin or nationality in the context of their joint work or collaboration.
-
D.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
E.
createdByCountryOfOrigin
Indicates that something was created by the country from which it originally comes or is associated as its origin.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 11:31 p.m.