Triple
T16039252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daxing Line (Beijing Subway) |
E389049
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Jiugong station
Jiugong station is a subway station in Beijing, China, serving passengers on the Daxing Line of the Beijing Subway network.
|
E1306865
|
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: Jiugong station | Statement: [Daxing Line (Beijing Subway), hasStation, Jiugong station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiugong station Context triple: [Daxing Line (Beijing Subway), hasStation, Jiugong station]
-
A.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
B.
Zuoying Station
Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
-
C.
Jiantan Station
Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
-
D.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
E.
Gucheng station
Gucheng station is a subway station in Beijing that serves passengers on the city’s Line 1 metro route.
- 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: Jiugong station Triple: [Daxing Line (Beijing Subway), hasStation, Jiugong station]
Generated description
Jiugong station is a subway station in Beijing, China, serving passengers on the Daxing Line of the Beijing Subway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jiugong station Target entity description: Jiugong station is a subway station in Beijing, China, serving passengers on the Daxing Line of the Beijing Subway network.
-
A.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
-
B.
Zuoying Station
Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
-
C.
Jiantan Station
Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
-
D.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
E.
Gucheng station
Gucheng station is a subway station in Beijing that serves passengers on the city’s Line 1 metro route.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1f2ac48190be5990748207819a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037e34ca8c81909bdaa64d3777ffb7 |
completed | May 12, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037ea9aa208190b82e32b47d04a417 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 4:56 a.m.