Triple
T35810626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treason Act 1842 |
E1035218
|
entity |
| Predicate | maximumPenaltyAtEnactment |
P139990
|
FINISHED |
| Object | transportation for life |
—
|
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: transportation for life | Statement: [Treason Act 1842, maximumPenaltyAtEnactment, transportation for life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPenaltyAtEnactment Context triple: [Treason Act 1842, maximumPenaltyAtEnactment, transportation for life]
-
A.
maximumPenaltyForIndividuals
Indicates the highest allowable penalty that can be imposed on individual persons under a given rule, law, or policy.
-
B.
penaltyMagnitude
chosen
Indicates the size or severity of a penalty imposed in a given situation or relationship.
-
C.
maximumPenaltyForOrganisations
Indicates the highest level of penalty that can be imposed on organisations under a given rule or legal framework.
-
D.
maximumPenaltySection1
Indicates the legal provision that specifies the highest penalty allowed under section 1 of a statute or regulation.
-
E.
defaultPenalty
Indicates that a standard or automatically applied penalty is imposed in the absence of a specific or overridden penalty.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:06 p.m.