Triple
T12453404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 5 |
E297590
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Jianchuan Road Depot
Jianchuan Road Depot is a maintenance and storage facility serving Shanghai Metro Line 5 in Shanghai, China.
|
E985253
|
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: Jianchuan Road Depot | Statement: [Shanghai Metro Line 5, depot, Jianchuan Road Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jianchuan Road Depot Context triple: [Shanghai Metro Line 5, depot, Jianchuan Road Depot]
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Zhujiajiao Depot
Zhujiajiao Depot is a maintenance and storage facility serving Shanghai Metro’s Line 17 near the historic town of Zhujiajiao in Qingpu District.
-
C.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
D.
Zhuxinzhuang depot
Zhuxinzhuang depot is a facility on the Beijing Subway network used for the storage, maintenance, and dispatch of trains serving Line 8.
-
E.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
- 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: Jianchuan Road Depot Triple: [Shanghai Metro Line 5, depot, Jianchuan Road Depot]
Generated description
Jianchuan Road Depot is a maintenance and storage facility serving Shanghai Metro Line 5 in Shanghai, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jianchuan Road Depot Target entity description: Jianchuan Road Depot is a maintenance and storage facility serving Shanghai Metro Line 5 in Shanghai, China.
-
A.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
B.
Zhujiajiao Depot
Zhujiajiao Depot is a maintenance and storage facility serving Shanghai Metro’s Line 17 near the historic town of Zhujiajiao in Qingpu District.
-
C.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
D.
Zhuxinzhuang depot
Zhuxinzhuang depot is a facility on the Beijing Subway network used for the storage, maintenance, and dispatch of trains serving Line 8.
-
E.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6412345ac8190826f4fecb8055fb5 |
completed | May 2, 2026, 6:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.