Triple
T34893470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Pong railway station |
E1006364
|
entity |
| Predicate | distanceFromThonBuri |
P155646
|
FINISHED |
| Object | 64.027 kilometres |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 64.027 kilometres | Statement: [Ban Pong railway station, distanceFromThonBuri, 64.027 kilometres]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.