Triple
T9314252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crime and Disorder Act 1998 |
E224078
|
entity |
| Predicate | policyAim |
P88042
|
FINISHED |
| Object | prevention of offending by children and young persons |
—
|
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: prevention of offending by children and young persons | Statement: [Crime and Disorder Act 1998, policyAim, prevention of offending by children and young persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyAim Context triple: [Crime and Disorder Act 1998, policyAim, prevention of offending by children and young persons]
-
A.
policyApproach
Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
-
B.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
C.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
D.
policyBasis
Indicates that one entity serves as the foundational rationale, authority, or guiding principle upon which a policy or rule is established or justified.
-
E.
policyAlignment
Indicates the degree to which one entity’s policies are consistent with, supportive of, or in agreement with those of 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b2274481908ddb4eda70cea8cc |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.