Triple
T34893470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Pong railway station |
E1006364
|
entity |
| Predicate | distanceFromThonBuri |
—
|
GENERATED |
| Object | 64.027 kilometres |
—
|
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: distanceFromThonBuri Context triple: [Ban Pong railway station, distanceFromThonBuri, 64.027 kilometres]
-
A.
distanceFromThonBuriStation_km
chosen
Indicates the distance, measured in kilometers, between a given entity and Thon Buri Station.
-
B.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
-
C.
distanceFromPhuket
Indicates the measured distance between a given entity or location and Phuket.
-
D.
distanceFromPattaya
Indicates the spatial distance between a given place or object and the location of Pattaya.
-
E.
approximateDistanceInKilometersFromChiangMai
Indicates the approximate physical distance, measured in kilometers, between a given entity’s location and Chiang Mai.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.