Triple
T2490893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiangtan |
E52036
|
entity |
| Predicate | highSpeedRailStation |
P918
|
FINISHED |
| Object |
Xiangtan North Railway Station
Xiangtan North Railway Station is a major high-speed rail hub serving the city of Xiangtan in Hunan Province, China, and connecting it to the national high-speed railway network.
|
E272376
|
NE FINISHED |
How this triple was built (5 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: Xiangtan North Railway Station | Statement: [Xiangtan, highSpeedRailStation, Xiangtan North Railway Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiangtan North Railway Station Context triple: [Xiangtan, highSpeedRailStation, Xiangtan North Railway Station]
-
A.
Xiangtan Railway Station
Xiangtan Railway Station is a passenger and freight train station serving the city of Xiangtan in Hunan Province, China, as part of the national railway network.
-
B.
Changsha South Railway Station
Changsha South Railway Station is a major high-speed rail hub in Changsha, Hunan Province, serving as an important junction on China’s national high-speed railway network.
-
C.
Changsha Railway Station
Changsha Railway Station is a major passenger rail hub in Changsha, Hunan Province, serving as an important transportation gateway for central China.
-
D.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
E.
Sihui station
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Xiangtan North Railway Station Triple: [Xiangtan, highSpeedRailStation, Xiangtan North Railway Station]
Generated description
Xiangtan North Railway Station is a major high-speed rail hub serving the city of Xiangtan in Hunan Province, China, and connecting it to the national high-speed railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiangtan North Railway Station Target entity description: Xiangtan North Railway Station is a major high-speed rail hub serving the city of Xiangtan in Hunan Province, China, and connecting it to the national high-speed railway network.
-
A.
Xiangtan Railway Station
chosen
Xiangtan Railway Station is a passenger and freight train station serving the city of Xiangtan in Hunan Province, China, as part of the national railway network.
-
B.
Changsha South Railway Station
Changsha South Railway Station is a major high-speed rail hub in Changsha, Hunan Province, serving as an important junction on China’s national high-speed railway network.
-
C.
Changsha Railway Station
Changsha Railway Station is a major passenger rail hub in Changsha, Hunan Province, serving as an important transportation gateway for central China.
-
D.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
E.
Sihui station
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSpeedRailStation Context triple: [Xiangtan, highSpeedRailStation, Xiangtan North Railway Station]
-
A.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
B.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
C.
hasRailwayStation
chosen
Indicates that a place or location is served by, or contains, a railway station.
-
D.
railwayStationOnLine
Indicates that a particular railway station is located on and served by a specified railway line.
-
E.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
- F. None of above.
Provenance (6 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd18fe32081909580c6272a6013c5 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8429388190a2d1b1610511ea75 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af4d9009208190a80cbab32cd2f4de |
completed | March 9, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4e4ab8188190b5f28c8e6d3995c3 |
completed | March 9, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.