Triple
T18041744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immigration Act 2016 |
E431667
|
entity |
| Predicate | criminalises |
P18713
|
FINISHED |
| Object | illegal working by persons without leave to remain |
—
|
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: illegal working by persons without leave to remain | Statement: [Immigration Act 2016, criminalises, illegal working by persons without leave to remain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criminalises Context triple: [Immigration Act 2016, criminalises, illegal working by persons without leave to remain]
-
A.
persecutes
Indicates that one entity persistently harasses, oppresses, or inflicts suffering on another, often in an unjust or hostile manner.
-
B.
isCriminalizedIn
chosen
Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
-
C.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
-
D.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
E.
punish
Indicates imposing a penalty or negative consequence on an entity in response to its perceived wrongdoing or rule violation.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bfee78048190b3fada0eb3d28c77 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.