Triple
T19495113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMP Prescoed |
E487747
|
entity |
| Predicate | acceptsPrisoners |
P57303
|
FINISHED |
| Object | adult male prisoners nearing the end of their sentences |
—
|
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: adult male prisoners nearing the end of their sentences | Statement: [HMP Prescoed, acceptsPrisoners, adult male prisoners nearing the end of their sentences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsPrisoners Context triple: [HMP Prescoed, acceptsPrisoners, adult male prisoners nearing the end of their sentences]
-
A.
receivesPrisonersFrom
Indicates that one entity accepts or takes custody of prisoners who are transferred from another entity.
-
B.
hasPrisoners
chosen
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
C.
prisonerExchange
Indicates a relationship where one party transfers prisoners to another party in return for receiving other prisoners or concessions in exchange.
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
acceptedFor
Indicates that one entity has been approved or admitted to receive, participate in, or be associated with another entity.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63490c16481908423e304d82722d7 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.