Triple
T33735917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nong Khai railway station |
E864412
|
entity |
| Predicate | connectsCountriesByRail |
P182398
|
FINISHED |
| Object | Thailand–Laos |
—
|
NE NERFINISHED |
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: Thailand–Laos | Statement: [Nong Khai railway station, connectsCountriesByRail, Thailand–Laos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCountriesByRail Context triple: [Nong Khai railway station, connectsCountriesByRail, Thailand–Laos]
-
A.
hasBorderRailConnectionWith
chosen
Indicates that two places are directly connected to each other by a cross-border railway line or service.
-
B.
connectsToTransportCorridor
Indicates that one entity has a direct linkage or access route to a designated transport corridor (such as a road, rail line, or similar transit pathway).
-
C.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
D.
railNetworkCountry
Indicates that a rail network is located within, or primarily serves, a specific country.
-
E.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:44 a.m.