Triple
T3227415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Beijing Subway) |
E67656
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Xitucheng station
Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
|
E452639
|
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: Xitucheng station | Statement: [Line 8 (Beijing Subway), hasStation, Xitucheng station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xitucheng station Context triple: [Line 8 (Beijing Subway), hasStation, Xitucheng station]
-
A.
Beitucheng station
Beitucheng station is an interchange station on the Beijing Subway that connects Line 8 with other key routes in the city's metro network.
-
B.
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.
-
C.
Tiyu Xilu Station
Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro 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.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- 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: Xitucheng station Triple: [Line 8 (Beijing Subway), hasStation, Xitucheng station]
Generated description
Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xitucheng station Target entity description: Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
-
A.
Beitucheng station
Beitucheng station is an interchange station on the Beijing Subway that connects Line 8 with other key routes in the city's metro network.
-
B.
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.
-
C.
Tiyu Xilu Station
Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro 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.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc51a7c6081909eeda563a4485e87 |
completed | March 20, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69bdc93a17548190b7ee841b25f7ad13 |
completed | March 20, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc9b4f9ac8190ae15c6445748a66e |
completed | March 20, 2026, 10:27 p.m. |
Created at: March 8, 2026, 3:08 p.m.