Triple
T17115271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacita Dean |
E415320
|
entity |
| Predicate | yearOfVeniceBiennalePavilion |
P33014
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Tacita Dean, yearOfVeniceBiennalePavilion, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfVeniceBiennalePavilion Context triple: [Tacita Dean, yearOfVeniceBiennalePavilion, 2011]
-
A.
featuredCountryPavilions
Indicates that certain country pavilions are highlighted or given special prominence within a larger event, exhibition, or collection.
-
B.
hostCountryPavilion
Indicates that a pavilion is designated as the official exhibition space representing the host country at an event or exposition.
-
C.
worldsFairPavilion
Indicates that one entity serves as a pavilion or exhibition building associated with a World's Fair event in relation to another entity.
-
D.
exhibitedCountry
Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
-
E.
yearExhibited
chosen
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.