Triple
T28794947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong Dang–Pingxiang rail link to China |
E727059
|
entity |
| Predicate | borderStations |
P102304
|
FINISHED |
| Object | Dong Dang railway station |
—
|
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: Dong Dang railway station | Statement: [Dong Dang–Pingxiang rail link to China, borderStations, Dong Dang railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderStations Context triple: [Dong Dang–Pingxiang rail link to China, borderStations, Dong Dang railway station]
-
A.
borderStationFor
Indicates that a particular border station serves, monitors, or is responsible for a specific border crossing or boundary segment.
-
B.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
C.
hasBoundaryStations
chosen
Indicates that an entity is associated with specific stations that mark its boundary or endpoints.
-
D.
hasBorderRailwayStationWith
Indicates that two regions share a common border at which there is a railway station connecting or serving both sides.
-
E.
adjacentCountryBorderPost
Indicates that a border post is located at or associated with the boundary between two adjacent countries.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 28, 2026, 6:25 a.m.