Triple
T31855727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon (UK Parliament constituency) |
E813189
|
entity |
| Predicate | hasCommuterBeltCharacter |
—
|
GENERATED |
| Object | true |
—
|
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: hasCommuterBeltCharacter Context triple: [Gordon (UK Parliament constituency), hasCommuterBeltCharacter, true]
-
A.
hasCommuterBelt
chosen
Indicates that one area functions as the commuter belt for another, meaning people regularly travel from the first area to the second for work or daily activities.
-
B.
hasPhysicalBelt
Indicates that one entity possesses or is equipped with a physical belt as an item or feature.
-
C.
usesBeltSystem
Indicates that a subject employs a structured belt-ranking system (e.g., colored belts) to denote levels of skill, progress, or status.
-
D.
beltFeature
Indicates that an entity possesses or is characterized by a specific belt-related attribute or component.
-
E.
beltType
Indicates the specific kind or category of belt associated with an entity.
- F. None of above.
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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:52 p.m.