Triple
T31995595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentencing Act 2020 |
E816983
|
entity |
| Predicate | introducedToSimplify |
P104443
|
FINISHED |
| Object | use of previous sentencing legislation by courts |
—
|
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: use of previous sentencing legislation by courts | Statement: [Sentencing Act 2020, introducedToSimplify, use of previous sentencing legislation by courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedToSimplify Context triple: [Sentencing Act 2020, introducedToSimplify, use of previous sentencing legislation by courts]
-
A.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
B.
introducedVia
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
C.
introducedUse
chosen
Indicates that one entity initiated or brought another entity into use, practice, or operation.
-
D.
introduced by
Indicates that one entity is presented or made known to another entity through the action or mediation of a third party.
-
E.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 12:13 a.m.