Triple
T35965643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayside Fire and Rescue |
E1040134
|
entity |
| Predicate | numberOfRegionalFireServicesMergedIntoSuccessor |
—
|
GENERATED |
| Object | 8 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRegionalFireServicesMergedIntoSuccessor Context triple: [Tayside Fire and Rescue, numberOfRegionalFireServicesMergedIntoSuccessor, 8]
-
A.
hasFireServicesFrom
Indicates that one entity receives fire protection or firefighting services from another entity.
-
B.
numberOfFirefightersInvolved
Indicates the total count of firefighters who participated in or were involved in a specific event, incident, or operation.
-
C.
hasFireRescueService
Indicates that an entity is served by, or responsible for providing, a fire and rescue service.
-
D.
disbandedOrAmalgamatedIn
Indicates that an entity ceased to exist in its original form on a given date, either by being formally disbanded or by being merged into another entity.
-
E.
numberOfFires
Indicates the count of distinct fire incidents associated with or occurring in relation to an entity.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.