Triple
T17402635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 16 (Beijing Subway) |
E423130
|
entity |
| Predicate | stationServed |
P6301
|
FINISHED |
| Object |
Erligou station
Erligou station is a subway station in Beijing that serves passengers on the city's urban rail network.
|
E1348675
|
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: Erligou station | Statement: [Line 16 (Beijing Subway), stationServed, Erligou station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erligou station Context triple: [Line 16 (Beijing Subway), stationServed, Erligou station]
-
A.
Guloudajie station
Guloudajie station is a Beijing Subway station in central Beijing that serves as an interchange between Line 2 and Line 8 near the historic Drum Tower area.
-
B.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
C.
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.
-
D.
Hongqihegou Station
Hongqihegou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as an important hub for passenger transfers.
-
E.
Neihu station
Neihu station is a metro station on the Taipei Metro system in Taipei, Taiwan, serving the Neihu District along the Wenhu (Brown) line.
- 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: Erligou station Triple: [Line 16 (Beijing Subway), stationServed, Erligou station]
Generated description
Erligou station is a subway station in Beijing that serves passengers on the city's urban rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erligou station Target entity description: Erligou station is a subway station in Beijing that serves passengers on the city's urban rail network.
-
A.
Guloudajie station
Guloudajie station is a Beijing Subway station in central Beijing that serves as an interchange between Line 2 and Line 8 near the historic Drum Tower area.
-
B.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
C.
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.
-
D.
Hongqihegou Station
Hongqihegou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as an important hub for passenger transfers.
-
E.
Neihu station
Neihu station is a metro station on the Taipei Metro system in Taipei, Taiwan, serving the Neihu District along the Wenhu (Brown) line.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a058296efe481908e5a19acc0d0b738 |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05866776d881909723e694ab9a8674 |
completed | May 14, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0586f85a448190becf166dbc584a1f |
completed | May 14, 2026, 8:25 a.m. |
Created at: April 10, 2026, 5:45 a.m.