Triple
T16969434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fisherton Mill |
E411626
|
entity |
| Predicate | typicalWorkShown |
P118593
|
FINISHED |
| Object | contemporary art |
—
|
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: contemporary art | Statement: [Fisherton Mill, typicalWorkShown, contemporary art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWorkShown Context triple: [Fisherton Mill, typicalWorkShown, contemporary art]
-
A.
showsWorkOf
chosen
Indicates that one entity presents, exhibits, or displays the work or creations produced by another entity.
-
B.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
C.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
D.
workExampleOf
Indicates that something serves as an example or instance of a particular type of work or activity.
-
E.
workRepresented
Indicates that one entity is a representation (such as a depiction, adaptation, or portrayal) of another work.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a86c64819092831f8ddf1e536b |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.