Triple
T28293980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Wheat Fields, Auvers |
E713506
|
entity |
| Predicate | year of completion |
P85809
|
FINISHED |
| Object | 1890 |
—
|
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: 1890 | Statement: [Green Wheat Fields, Auvers, year of completion, 1890]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: year of completion Context triple: [Green Wheat Fields, Auvers, year of completion, 1890]
-
A.
workCompletionYear
chosen
Indicates the calendar year in which a particular work, project, or task was completed.
-
B.
revisionCompletionYear
Indicates the year in which a revision of something (e.g., a work, document, or item) was completed.
-
C.
originalCompletionYear
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
-
D.
approximateYearOfCompletion
Indicates the estimated calendar year in which something was completed, rather than an exact or confirmed year.
-
E.
designCompletionYear
Indicates the calendar year in which the design of something was completed.
- 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_69f6448643f48190b5d292584036de6e |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:31 p.m.