Triple
T33735916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nong Khai railway station |
E864412
|
entity |
| Predicate | connectsCitiesByRail |
P105759
|
FINISHED |
| Object | Bangkok–Nong Khai |
—
|
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: Bangkok–Nong Khai | Statement: [Nong Khai railway station, connectsCitiesByRail, Bangkok–Nong Khai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCitiesByRail Context triple: [Nong Khai railway station, connectsCitiesByRail, Bangkok–Nong Khai]
-
A.
connectsCitiesViaLine
chosen
Indicates a relationship where a transportation line directly links two or more cities.
-
B.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
C.
connectsBorderCities
Indicates a relationship where a route, infrastructure, or boundary directly links two or more cities that lie on or near a shared border.
-
D.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
E.
connectsToCityBy
Indicates that one entity is linked or has a direct connection to a specific city, such as through infrastructure, routes, or established relations.
- 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_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: May 1, 2026, 1:44 a.m.