Triple
T34839239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suttontown |
E1004288
|
entity |
| Predicate | hasCouncilSeatNearby |
—
|
GENERATED |
| Object | Mount Gambier |
—
|
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: hasCouncilSeatNearby Context triple: [Suttontown, hasCouncilSeatNearby, Mount Gambier]
-
A.
hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
-
B.
hasRegencySeatNearby
Indicates that an entity has a regency seat located in close geographical proximity to it.
-
C.
hasMunicipalitySeatNearby
chosen
Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
-
D.
hasLocalCouncilRepresentation
Indicates that an entity is represented by a local council or has elected representatives serving on a local council.
-
E.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.