Triple
T3176494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 13 (Beijing Subway) |
E66476
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
|
E430161
|
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: Longze station | Statement: [Line 13 (Beijing Subway), servesStation, Longze station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longze station Context triple: [Line 13 (Beijing Subway), servesStation, Longze station]
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
C.
Lijiao Station
Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban area.
-
D.
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.
-
E.
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.
- 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: Longze station Triple: [Line 13 (Beijing Subway), servesStation, Longze station]
Generated description
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longze station Target entity description: Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
C.
Lijiao Station
Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban area.
-
D.
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.
-
E.
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.
- 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_69b5d02c25408190ba366a6a5e422046 |
completed | March 14, 2026, 9:16 p.m. |
| NEDg | Description generation | batch_69b5d0cbc000819088f22bba5dcee7eb |
completed | March 14, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d172e0448190bd323d79f4b36d28 |
completed | March 14, 2026, 9:21 p.m. |
Created at: March 8, 2026, 3:06 p.m.