Triple
T548672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yellow House |
E12787
|
entity |
| Predicate | significant event |
P259
|
FINISHED |
| Object | painted shortly before Gauguin’s arrival in Arles |
—
|
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: painted shortly before Gauguin’s arrival in Arles | Statement: [The Yellow House, significant event, painted shortly before Gauguin’s arrival in Arles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significant event Context triple: [The Yellow House, significant event, painted shortly before Gauguin’s arrival in Arles]
-
A.
significantEvent
chosen
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
B.
significantRevisionIn
Indicates that one entity represents a substantial or important change made within another entity, such as a major update or revision occurring in a larger work or version.
-
C.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
D.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.