Triple
T8077592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 1 |
E188529
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Tonghe Xincun station
Tonghe Xincun station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
|
E722475
|
NE FINISHED |
How this triple was built (4 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: Tonghe Xincun station | Statement: [Shanghai Metro Line 1, hasStation, Tonghe Xincun station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonghe Xincun station Context triple: [Shanghai Metro Line 1, hasStation, Tonghe Xincun station]
-
A.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
B.
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.
-
C.
Zhuxinzhuang station
Zhuxinzhuang station is a Beijing Subway interchange station in Changping District that serves as a key stop on Line 8 and connects with other suburban lines.
-
D.
Gongyixiqiao station
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
-
E.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- 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: Tonghe Xincun station Triple: [Shanghai Metro Line 1, hasStation, Tonghe Xincun station]
Generated description
Tonghe Xincun station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonghe Xincun station Target entity description: Tonghe Xincun station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit network.
-
A.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
B.
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.
-
C.
Zhuxinzhuang station
Zhuxinzhuang station is a Beijing Subway interchange station in Changping District that serves as a key stop on Line 8 and connects with other suburban lines.
-
D.
Gongyixiqiao station
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
-
E.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- F. None of above. chosen
Provenance (5 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a184488190b19ef7066f0f5057 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6769c6948190805188b09c16bed4 |
completed | April 1, 2026, 6:43 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 5:28 p.m.