Triple
T6815521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Gogh’s Café Terrace site |
E156741
|
entity |
| Predicate | hasTimeOfDepictedScene |
P68358
|
FINISHED |
| Object | night |
—
|
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: night | Statement: [Van Gogh’s Café Terrace site, hasTimeOfDepictedScene, night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeOfDepictedScene Context triple: [Van Gogh’s Café Terrace site, hasTimeOfDepictedScene, night]
-
A.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
B.
appearsInTimePeriodDepicted
chosen
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
C.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
-
D.
presentedAtTime
Indicates that an event, action, or item was presented or occurred at a specific point in time.
-
E.
capturedAt
Indicates the specific time or moment at which an entity was captured, recorded, or taken.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32dc19c8190a871cc1ff1471a58 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.