Triple
T13731828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Yorkshire Fire and Rescue Service |
E329820
|
entity |
| Predicate | usesStaffingModel |
P98903
|
FINISHED |
| Object | wholetime firefighters |
—
|
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: wholetime firefighters | Statement: [North Yorkshire Fire and Rescue Service, usesStaffingModel, wholetime firefighters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStaffingModel Context triple: [North Yorkshire Fire and Rescue Service, usesStaffingModel, wholetime firefighters]
-
A.
hasStaffingModel
chosen
Indicates that an entity is associated with or operates under a particular staffing model or staffing approach.
-
B.
usesStaffCode
Indicates that one entity performs an action or operates by referencing or applying a specific staff code associated with another entity.
-
C.
staffingLevel
Indicates the degree or adequacy of personnel assigned to perform a particular function, task, or operation.
-
D.
hadStaffRole
Indicates that an entity served in a specific staff role or position for another entity during some period.
-
E.
associatedWithWorkforce
Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.