Triple
T9314174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Justice Act 1967 |
E224076
|
entity |
| Predicate | reformedSentencing |
P24524
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Criminal Justice Act 1967, reformedSentencing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformedSentencing Context triple: [Criminal Justice Act 1967, reformedSentencing, yes]
-
A.
changedSentencingRatio
Indicates that the proportion or balance between different components of a sentence (such as prison time, fines, or other penalties) has been altered from its previous state.
-
B.
seeksToReform
Indicates an entity’s intention or effort to change an existing system, practice, or condition in order to improve or correct it.
-
C.
sentencedTo
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
-
D.
isPartOfReform
chosen
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
E.
isForConvictedOffenders
Indicates that something is intended to apply to, be used by, or be relevant for individuals who have been legally convicted of offenses.
- 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_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. |
Created at: March 30, 2026, 7:37 p.m.