Triple
T3767412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa des Arènes |
E82711
|
entity |
| Predicate | functionSince |
P50994
|
FINISHED |
| Object | Musée Matisse venue |
—
|
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: Musée Matisse venue | Statement: [Villa des Arènes, functionSince, Musée Matisse venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionSince Context triple: [Villa des Arènes, functionSince, Musée Matisse venue]
-
A.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
B.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
knownSince
Indicates the point in time from which one entity has been aware of, acquainted with, or in possession of knowledge about another entity.
-
D.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
E.
existsSince
Indicates that an entity has been in existence or valid from a specified point in time onward.
- F. None of above. chosen
Provenance (4 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2bdf6c819088d3c6ace83ca5ea |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.