Triple
T7968208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro Line 3 |
E185258
|
entity |
| Predicate | hasInterchange |
P3495
|
FINISHED |
| Object |
Hanxi Changlong station
Hanxi Changlong station is a major Guangzhou Metro interchange and gateway to the nearby Chimelong tourist resort area.
|
E710950
|
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: Hanxi Changlong station | Statement: [Guangzhou Metro Line 3, hasInterchange, Hanxi Changlong station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanxi Changlong station Context triple: [Guangzhou Metro Line 3, hasInterchange, Hanxi Changlong station]
-
A.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
-
B.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
E.
Chegongmiao station
Chegongmiao station is a major interchange station in Shenzhen, China, serving multiple Shenzhen Metro lines and connecting key commercial and business 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: Hanxi Changlong station Triple: [Guangzhou Metro Line 3, hasInterchange, Hanxi Changlong station]
Generated description
Hanxi Changlong station is a major Guangzhou Metro interchange and gateway to the nearby Chimelong tourist resort area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanxi Changlong station Target entity description: Hanxi Changlong station is a major Guangzhou Metro interchange and gateway to the nearby Chimelong tourist resort area.
-
A.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
-
B.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
E.
Chegongmiao station
Chegongmiao station is a major interchange station in Shenzhen, China, serving multiple Shenzhen Metro lines and connecting key commercial and business 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd06ee081908c5080003fb7b8f7 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b3ddc8819094f353804504c911 |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc64bd6a088190b77e2709c76579e4 |
completed | April 1, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc66b0e1548190840e4335ff2b130f |
completed | April 1, 2026, 12:28 a.m. |
Created at: March 30, 2026, 5:13 p.m.