Triple
T30610603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Government Legal Service |
E779166
|
entity |
| Predicate | hasRecruitmentScheme |
P191771
|
FINISHED |
| Object | legal trainee scheme |
—
|
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: legal trainee scheme | Statement: [UK Government Legal Service, hasRecruitmentScheme, legal trainee scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecruitmentScheme Context triple: [UK Government Legal Service, hasRecruitmentScheme, legal trainee scheme]
-
A.
hasRecruitmentProgram
chosen
Indicates that an entity runs or participates in an organized effort to attract, select, and bring in new members, employees, or participants.
-
B.
hasRecruitStatus
Indicates that an entity holds a particular recruitment-related status or stage within a recruiting process.
-
C.
hasRecruitType
Indicates that an entity is associated with a specific type or category of recruitment.
-
D.
hasDraftOrRecruitmentMethod
Indicates that there exists a specific draft system or recruitment method used to select or acquire participants or members.
-
E.
canBeRecruitedFrom
Indicates that one entity is eligible to be recruited, obtained, or enlisted starting from or via another specified entity or source.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
Created at: April 29, 2026, 8:26 p.m.