Triple
T37865090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嵯峨嵐山駅 |
E944447
|
entity |
| Predicate | distanceFromKyotoStation_km |
—
|
GENERATED |
| Object | 7.7 |
—
|
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: distanceFromKyotoStation_km Context triple: [嵯峨嵐山駅, distanceFromKyotoStation_km, 7.7]
-
A.
distanceFromKyotoStation
chosen
Indicates the spatial distance between a given location and Kyoto Station.
-
B.
distanceFromKyoto
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
-
C.
distanceFromTokyoStationOnTokaidoMainLine_km
Indicates the distance in kilometers of a location measured along the Tokaido Main Line from Tokyo Station.
-
D.
distanceFromTokyoStationOnTokaidoShinkansen_km
Indicates the distance in kilometers from Tokyo Station to a given location along the Tokaido Shinkansen line.
-
E.
distanceToShinjukuStation_km
Indicates the physical distance, measured in kilometers, between a given place and Shinjuku Station.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.