Triple
T8506802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Morgan Collection |
E201353
|
entity |
| Predicate | displaysAt |
P3021
|
FINISHED |
| Object | UK museums |
—
|
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: UK museums | Statement: [De Morgan Collection, displaysAt, UK museums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displaysAt Context triple: [De Morgan Collection, displaysAt, UK museums]
-
A.
displayedAt
chosen
Indicates that one entity is presented or exhibited at a particular location, venue, or event.
-
B.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
C.
presentsAt
Indicates that one entity delivers or gives a presentation, talk, or performance at a particular event, venue, or occasion.
-
D.
displaysFeature
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
E.
displayedWith
Indicates that one entity is shown or presented together alongside another entity in the same context or view.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5db51e4819098dde316e87e8b0d |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.