Triple
T12903329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Work-Related Activity Group |
E308664
|
entity |
| Predicate | hasConditionalityLevel |
P107364
|
FINISHED |
| Object | less strict than Jobseeker’s Allowance |
—
|
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: less strict than Jobseeker’s Allowance | Statement: [Work-Related Activity Group, hasConditionalityLevel, less strict than Jobseeker’s Allowance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConditionalityLevel Context triple: [Work-Related Activity Group, hasConditionalityLevel, less strict than Jobseeker’s Allowance]
-
A.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
B.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
C.
isConditionallyStable
Indicates that an entity remains stable only under certain specified conditions or constraints.
-
D.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
E.
hasStabilityLevel
Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
- F. None of above. chosen
Provenance (4 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.