Triple
T21948883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou Metro |
E542007
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Xuchang Road depot
Xuchang Road depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
|
E1511052
|
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: Xuchang Road depot | Statement: [Zhengzhou Metro, hasDepot, Xuchang Road depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xuchang Road depot Context triple: [Zhengzhou Metro, hasDepot, Xuchang Road depot]
-
A.
Jianchuan Road Depot
Jianchuan Road Depot is a maintenance and storage facility serving Shanghai Metro Line 5 in Shanghai, China.
-
B.
Wenhua Road depot
Wenhua Road depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
-
C.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
D.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
E.
Songjiazhuang Depot
Songjiazhuang Depot is a major maintenance and storage facility serving Beijing's Subway Line 5 in the southern part of 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: Xuchang Road depot Triple: [Zhengzhou Metro, hasDepot, Xuchang Road depot]
Generated description
Xuchang Road depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xuchang Road depot Target entity description: Xuchang Road depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
-
A.
Jianchuan Road Depot
Jianchuan Road Depot is a maintenance and storage facility serving Shanghai Metro Line 5 in Shanghai, China.
-
B.
Wenhua Road depot
Wenhua Road depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
-
C.
Sanyuanqiao depot
Sanyuanqiao depot is a maintenance and storage facility serving Beijing’s Capital Airport Express line.
-
D.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
E.
Songjiazhuang Depot
Songjiazhuang Depot is a major maintenance and storage facility serving Beijing's Subway Line 5 in the southern part of the city.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a670241e48190ab2e085b11bf5161 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a6812112c81909844ab725dff79ed |
completed | May 18, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a688613e8819081def9b6ba0d445e |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 7:58 p.m.