Triple
T18470110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Bribery Act 2010 |
E451272
|
entity |
| Predicate | maximumPenaltyForOrganisations |
P131773
|
FINISHED |
| Object | unlimited fine |
—
|
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: unlimited fine | Statement: [UK Bribery Act 2010, maximumPenaltyForOrganisations, unlimited fine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPenaltyForOrganisations Context triple: [UK Bribery Act 2010, maximumPenaltyForOrganisations, unlimited fine]
-
A.
maximumPenaltySection1
Indicates the legal provision that specifies the highest penalty allowed under section 1 of a statute or regulation.
-
B.
defaultPenalty
Indicates that a standard or automatically applied penalty is imposed in the absence of a specific or overridden penalty.
-
C.
penaltyPoints
Indicates that a certain number of negative points or demerits are assigned to an entity as a consequence of a rule violation, error, or infraction.
-
D.
penaltyRules
Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given context.
-
E.
penaltyMechanism
Indicates a relationship where a rule, system, or process imposes a negative consequence or sanction in response to certain actions or conditions.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5305e349c8190925166bc3dddb320 |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:34 a.m.