Triple
T3176452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Beijing Subway) |
E66475
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Gongyixiqiao station
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
|
E411043
|
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: Gongyixiqiao station | Statement: [Line 4 (Beijing Subway), hasStation, Gongyixiqiao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gongyixiqiao station Context triple: [Line 4 (Beijing Subway), hasStation, Gongyixiqiao station]
-
A.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
B.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
C.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
- 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: Gongyixiqiao station Triple: [Line 4 (Beijing Subway), hasStation, Gongyixiqiao station]
Generated description
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gongyixiqiao station Target entity description: Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
-
A.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
B.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
C.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Songjiazhuang station
Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69b0bec8190957913b44d876079 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5627344648190b2794d4e71524bf4 |
completed | March 14, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69b5665f491c8190ad6c593d34b54dca |
completed | March 14, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b566b5178c8190b0271114805f1ec0 |
completed | March 14, 2026, 1:46 p.m. |
Created at: March 8, 2026, 3:06 p.m.