Triple
T35918942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oeiras railway station |
E1038826
|
entity |
| Predicate | distanceFromLisbonCaisDoSodre |
—
|
GENERATED |
| Object | approximately 15 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: distanceFromLisbonCaisDoSodre Context triple: [Oeiras railway station, distanceFromLisbonCaisDoSodre, approximately 15 km]
-
A.
distanceFromLisbon
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Lisbon.
-
B.
distanceToCascaisApproxKm
Indicates the approximate distance, measured in kilometers, from a given location to Cascais.
-
C.
distanceFromSantarém
Indicates the measured distance between a given entity or location and the city of Santarém.
-
D.
distanceFromPorto
Indicates the measured distance between a given place or entity and the city of Porto.
-
E.
distanceFromSintra
Indicates the spatial distance between a given entity and the location Sintra.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.