Triple
T16117110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydebank Wood College and Women’s Prison |
E391030
|
entity |
| Predicate | hasInmatePopulation |
P57303
|
FINISHED |
| Object | young male offenders |
—
|
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: young male offenders | Statement: [Hydebank Wood College and Women’s Prison, hasInmatePopulation, young male offenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInmatePopulation Context triple: [Hydebank Wood College and Women’s Prison, hasInmatePopulation, young male offenders]
-
A.
hasPrisonerPopulation
Indicates that an entity maintains or contains a population of prisoners, specifying the number or presence of incarcerated individuals associated with it.
-
B.
hasPrisoners
chosen
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
C.
numberOfPrisonersApproximate
Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
-
D.
hasInmateManagementPolicy
Indicates that an entity has established rules or procedures governing the management and treatment of inmates.
-
E.
estimatedPrisonerCount
Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016b5c948190b0f1eccb97ee85cc |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.