Triple
T919606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul-de-Mausole asylum |
E19852
|
entity |
| Predicate | functionDuringVanGoghStay |
P4341
|
FINISHED |
| Object | sanatorium for mental illness |
—
|
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: sanatorium for mental illness | Statement: [Saint-Paul-de-Mausole asylum, functionDuringVanGoghStay, sanatorium for mental illness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringVanGoghStay Context triple: [Saint-Paul-de-Mausole asylum, functionDuringVanGoghStay, sanatorium for mental illness]
-
A.
windmillFunction
Indicates that something serves as or performs the function of a windmill, typically converting wind energy into mechanical or electrical power.
-
B.
ownedDuring
Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
-
C.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
D.
usedDuring
chosen
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.