Triple
T21033762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM Prison Albany |
E518132
|
entity |
| Predicate | categoryHistory |
P142556
|
FINISHED |
| Object | formerly Category A prison |
—
|
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: formerly Category A prison | Statement: [HM Prison Albany, categoryHistory, formerly Category A prison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryHistory Context triple: [HM Prison Albany, categoryHistory, formerly Category A prison]
-
A.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
B.
classHistory
Indicates a relationship where an entity records or reflects the historical versions, changes, or evolution of a particular class over time.
-
C.
collectionHistory
Indicates the record of when, how, and from whom an item or set of items was acquired, transferred, or otherwise added to a collection over time.
-
D.
featuresHistorian
Indicates that something includes or presents a historian as a notable participant, subject, or element.
-
E.
historicFor
Indicates that something holds historical significance or importance specifically in relation to another entity.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc84b4ac8190bcee5fbba730b499 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2 p.m.