Triple
T35810625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treason Act 1842 |
E1035218
|
entity |
| Predicate | classificationOfOffence |
P7957
|
FINISHED |
| Object | offence short of high treason |
—
|
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: offence short of high treason | Statement: [Treason Act 1842, classificationOfOffence, offence short of high treason]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationOfOffence Context triple: [Treason Act 1842, classificationOfOffence, offence short of high treason]
-
A.
offenceCognizable
Indicates that the offence is of a type for which police may initiate investigation and arrest without requiring prior permission or a warrant from a magistrate.
-
B.
definesOffence
Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
-
C.
typeOfOffenseAddressed
Indicates the specific category or kind of offense that a given action, measure, or legal provision is intended to address.
-
D.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
E.
criminalType
Indicates the specific category or classification of crime associated with a criminal act or offender.
- 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_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.