Triple
T22441794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu Metro Line 1 |
E554769
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Guangdu depot
Guangdu depot is a major maintenance and storage facility serving trains on Chengdu Metro Line 1 in Chengdu, China.
|
E1537357
|
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: Guangdu depot | Statement: [Chengdu Metro Line 1, depot, Guangdu depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guangdu depot Context triple: [Chengdu Metro Line 1, depot, Guangdu depot]
-
A.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
-
B.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
C.
Daliao Depot
Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
-
D.
Pujiang Depot
Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
-
E.
Tucheng Depot
Tucheng Depot is a maintenance and storage facility serving trains on Taipei's Bannan Line in New Taipei City, Taiwan.
- 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: Guangdu depot Triple: [Chengdu Metro Line 1, depot, Guangdu depot]
Generated description
Guangdu depot is a major maintenance and storage facility serving trains on Chengdu Metro Line 1 in Chengdu, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guangdu depot Target entity description: Guangdu depot is a major maintenance and storage facility serving trains on Chengdu Metro Line 1 in Chengdu, China.
-
A.
Meilong Depot
Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
-
B.
Wanshengwei Depot
Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
-
C.
Daliao Depot
Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
-
D.
Pujiang Depot
Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
-
E.
Tucheng Depot
Tucheng Depot is a maintenance and storage facility serving trains on Taipei's Bannan Line in New Taipei City, Taiwan.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c7001348190a6959ad5358f2fa4 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d10a50881909fb586a3c529623d |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0daf9bac819086166985458f6742 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:47 p.m.