Triple
T35084125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lavinia railway station |
E1012530
|
entity |
| Predicate | distanceFromColomboFort |
—
|
GENERATED |
| Object | approximately 10 km |
—
|
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: distanceFromColomboFort Context triple: [Mount Lavinia railway station, distanceFromColomboFort, approximately 10 km]
-
A.
distanceToColombo
chosen
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Colombo.
-
B.
distanceFromGalle_km
Indicates the physical distance, measured in kilometers, between an entity and the location Galle.
-
C.
distanceToBatticaloa_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Batticaloa.
-
D.
distanceToNegombo
Indicates the spatial distance between a given entity’s location and the location of Negombo.
-
E.
directionFromColombo
Indicates the cardinal or relative compass direction of an entity’s location measured from Colombo.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.