Triple
T4359550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Secrets Act 1989 |
E98629
|
entity |
| Predicate | maximumPenaltyOnIndictment |
P53458
|
FINISHED |
| Object | 2 years imprisonment |
—
|
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: 2 years imprisonment | Statement: [Official Secrets Act 1989, maximumPenaltyOnIndictment, 2 years imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPenaltyOnIndictment Context triple: [Official Secrets Act 1989, maximumPenaltyOnIndictment, 2 years imprisonment]
-
A.
maximumImprisonmentPower
chosen
Indicates the highest duration or extent of imprisonment that an authority is legally empowered to impose.
-
B.
dateFirstIndictmentsIssued
Indicates the date on which the first formal indictments in a particular case or investigation were officially issued.
-
C.
durationOfImprisonment
Indicates the length of time that an entity is or was held in imprisonment.
-
D.
firstIndictmentIssued
Indicates that an initial formal criminal charge has been officially filed against an entity for the first time in a given case or context.
-
E.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.