Triple
T27858005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Procedure Rules 2015 |
E704138
|
entity |
| Predicate | overridingObjectiveIncludes |
P32133
|
FINISHED |
| Object | acquitting the innocent |
—
|
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: acquitting the innocent | Statement: [Criminal Procedure Rules 2015, overridingObjectiveIncludes, acquitting the innocent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overridingObjectiveIncludes Context triple: [Criminal Procedure Rules 2015, overridingObjectiveIncludes, acquitting the innocent]
-
A.
overridingObjective
Indicates that one objective takes precedence over and supersedes another objective in cases of conflict.
-
B.
overrides
Indicates that one entity replaces, supersedes, or takes precedence over another in determining the outcome or applicable behavior.
-
C.
objectiveIncludes
chosen
Indicates that a broader objective encompasses or contains a specific sub-objective, component, or element as part of its scope.
-
D.
overriddenInPartBy
Indicates that one item’s provisions or effects are partially superseded or modified by another item.
-
E.
alsoImplements
Indicates that an entity, in addition to its primary implementation, implements another interface, protocol, or specification as well.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:15 p.m.