Triple
T3769051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venice Biennale |
E82750
|
entity |
| Predicate | startTimeOfArtExhibition |
P30542
|
FINISHED |
| Object | 1895 |
—
|
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: 1895 | Statement: [Venice Biennale, startTimeOfArtExhibition, 1895]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfArtExhibition Context triple: [Venice Biennale, startTimeOfArtExhibition, 1895]
-
A.
exhibitionStartDate
chosen
Indicates the date on which an exhibition begins or is first opened to the public.
-
B.
yearExhibited
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
C.
publicExhibitOpened
Indicates that a public exhibition has been officially opened or made accessible to the general public.
-
D.
artPresence
Indicates that some form of art is present, exists, or is featured in relation to a given context or entity.
-
E.
firstExhibited
Indicates the event or context in which something was publicly displayed or presented for the first time.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.