Triple
T35755649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagi |
E1033438
|
entity |
| Predicate | hasCoordinateApproximation |
—
|
GENERATED |
| Object | 23.48°N 120.44°E |
—
|
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: hasCoordinateApproximation Context triple: [Kagi, hasCoordinateApproximation, 23.48°N 120.44°E]
-
A.
hasApproximateCoordinates
chosen
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
B.
hasCoordinatePrecision
Indicates the degree of exactness or granularity with which an entity’s spatial coordinates are specified.
-
C.
hasCoordinates
Indicates that an entity is associated with specific spatial coordinates that define its position in a given reference system.
-
D.
hasApproximateLocation
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
E.
hasApproximateOrigin
Indicates that an entity originates from a source or location that is known only approximately rather than precisely.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.