Triple
T17167931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM Prison Lincoln |
E416652
|
entity |
| Predicate | categoryForYoungOffenders |
P41888
|
FINISHED |
| Object | Category B |
—
|
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: Category B | Statement: [HM Prison Lincoln, categoryForYoungOffenders, Category B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryForYoungOffenders Context triple: [HM Prison Lincoln, categoryForYoungOffenders, Category B]
-
A.
isForConvictedOffenders
Indicates that something is intended to apply to, be used by, or be relevant for individuals who have been legally convicted of offenses.
-
B.
targetOffenderType
chosen
Indicates the specific category or type of offender that an action, rule, or condition is directed toward.
-
C.
inmateAgeGroup
Indicates the age-range category to which an inmate belongs.
-
D.
isCriminalizedIn
Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
-
E.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f916833c81909c64e0d74b40a85b |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.