Triple
T3207605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Beijing Subway) |
E67200
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Puhuangyu station
Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive rapid transit network.
|
E445756
|
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: Puhuangyu station | Statement: [Line 5 (Beijing Subway), hasStation, Puhuangyu station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puhuangyu station Context triple: [Line 5 (Beijing Subway), hasStation, Puhuangyu 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.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
E.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
- 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: Puhuangyu station Triple: [Line 5 (Beijing Subway), hasStation, Puhuangyu station]
Generated description
Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puhuangyu station Target entity description: Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive 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.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
C.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
-
D.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
E.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa58340881908347d772cfa0ac4c |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb808e7f94819086fbad85d6aed33e |
completed | March 19, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69bd3a55a4808190b144f6c4ae40593d |
completed | March 20, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd3b1d98408190b2c8506281fe8a6b |
completed | March 20, 2026, 12:18 p.m. |
Created at: March 8, 2026, 3:07 p.m.