Triple
T30972765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dezhou East railway station |
E789141
|
entity |
| Predicate | adjacentStationOnBeijingShanghaiHsr |
P180057
|
FINISHED |
| Object |
Cangzhou West railway station
Cangzhou West railway station is a high-speed rail station in Cangzhou, Hebei, serving trains on the Beijing–Shanghai High-Speed Railway corridor.
|
E1939687
|
NE FINISHED |
How this triple was built (3 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: Cangzhou West railway station | Statement: [Dezhou East railway station, adjacentStationOnBeijingShanghaiHsr, Cangzhou West railway station]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cangzhou West railway station Triple: [Dezhou East railway station, adjacentStationOnBeijingShanghaiHsr, Cangzhou West railway station]
Generated description
Cangzhou West railway station is a high-speed rail station in Cangzhou, Hebei, serving trains on the Beijing–Shanghai High-Speed Railway corridor.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnBeijingShanghaiHsr Context triple: [Dezhou East railway station, adjacentStationOnBeijingShanghaiHsr, Cangzhou West railway station]
-
A.
adjacentStationOnTokaidoShinkansen
Indicates that one station is directly next to another along the Tokaido Shinkansen line, with no other station in between.
-
B.
adjacentStationOnWenhuLine
Indicates that one station is directly next to another station along the Wenhu metro line, with no other stations in between.
-
C.
adjacentStationOnChuoLine
Indicates that two stations are directly next to each other as consecutive stops on the Chuo railway line.
-
D.
adjacentStationOnTokaidoMainLine
Indicates that one station is directly next to another station along the Tokaido Main Line, with no other stations in between.
-
E.
adjacentStationOnTsukubaExpress
Indicates that one station is directly next to another station along the Tsukuba Express railway line, with no other stations in between.
- F. None of above. chosen
Provenance (7 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fbbbd7908190b2b8b95b54778197 |
completed | June 10, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_6a28fceb649c8190b421f8ef7459fe07 |
completed | June 10, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28fd95b61c8190a42d8816b25a5443 |
completed | June 10, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 29, 2026, 8:55 p.m.