Triple
T5974268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chunxi Road |
E132944
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object |
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
|
E567889
|
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: Chunxi Road Station | Statement: [Chunxi Road, servedBy, Chunxi Road Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chunxi Road Station Context triple: [Chunxi Road, servedBy, Chunxi Road Station]
-
A.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
B.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
C.
Longxi Road Station
Longxi Road Station is a Shanghai Metro station located in the city's Changning District, serving local commuters and providing access to nearby residential and commercial areas.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
- 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: Chunxi Road Station Triple: [Chunxi Road, servedBy, Chunxi Road Station]
Generated description
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chunxi Road Station Target entity description: Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
A.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
B.
Loushanguan Road Station
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
C.
Longxi Road Station
Longxi Road Station is a Shanghai Metro station located in the city's Changning District, serving local commuters and providing access to nearby residential and commercial areas.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a39c9d08190a78e1e3268584eb5 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12505bb8c8190a2f509e9615d0dcd |
completed | March 23, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c12605b8148190967526967a8a1231 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c641448190a826c213e8ab05af |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:03 p.m.