Triple
T9926486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro Line 2 |
E187935
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Luoxi station
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
|
E875118
|
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: Luoxi station | Statement: [Guangzhou Metro Line 2, connects, Luoxi station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luoxi station Context triple: [Guangzhou Metro Line 2, connects, Luoxi station]
-
A.
Huoying station
Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
-
B.
Weiwuying Station
Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
-
C.
Xitucheng station
Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
-
D.
Ximenkou station
Ximenkou station is an underground metro station on the Guangzhou Metro system, located near the historic Ximenkou area in central Guangzhou, China.
-
E.
Laojie station
Laojie station is a major interchange and one of the busiest metro stations in Shenzhen, China, serving the city’s central commercial and shopping districts.
- 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: Luoxi station Triple: [Guangzhou Metro Line 2, connects, Luoxi station]
Generated description
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luoxi station Target entity description: Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
-
A.
Huoying station
Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
-
B.
Weiwuying Station
Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
-
C.
Xitucheng station
Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
-
D.
Ximenkou station
Ximenkou station is an underground metro station on the Guangzhou Metro system, located near the historic Ximenkou area in central Guangzhou, China.
-
E.
Laojie station
Laojie station is a major interchange and one of the busiest metro stations in Shenzhen, China, serving the city’s central commercial and shopping districts.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb599e32c8190ac676fa89c131bb6 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: March 30, 2026, 8:43 p.m.