Triple
T15476430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Airport MRT |
E376791
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Huanbei Station
Huanbei Station is a metro station in Taoyuan, Taiwan, serving as one end of the Taoyuan Airport MRT line and providing access to the surrounding urban area.
|
E1203608
|
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: Huanbei Station | Statement: [Taoyuan Airport MRT, terminus, Huanbei Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huanbei Station Context triple: [Taoyuan Airport MRT, terminus, Huanbei Station]
-
A.
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.
-
B.
Gaobeidian Station
Gaobeidian Station is a Beijing Subway station serving the eastern part of the city along Line 1.
-
C.
Daliao Station
Daliao Station is a metro station in Kaohsiung, Taiwan, serving as the eastern endpoint of the Kaohsiung MRT Orange Line.
-
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.
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: Huanbei Station Triple: [Taoyuan Airport MRT, terminus, Huanbei Station]
Generated description
Huanbei Station is a metro station in Taoyuan, Taiwan, serving as one end of the Taoyuan Airport MRT line and providing access to the surrounding urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huanbei Station Target entity description: Huanbei Station is a metro station in Taoyuan, Taiwan, serving as one end of the Taoyuan Airport MRT line and providing access to the surrounding urban area.
-
A.
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.
-
B.
Gaobeidian Station
Gaobeidian Station is a Beijing Subway station serving the eastern part of the city along Line 1.
-
C.
Daliao Station
Daliao Station is a metro station in Kaohsiung, Taiwan, serving as the eastern endpoint of the Kaohsiung MRT Orange Line.
-
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.
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001799fbac8190b75a48a8c63e3381 |
completed | May 10, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_6a00194c774881909f997ccbcf83ae7f |
completed | May 10, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0019bd742c8190b91f230761d3bacb |
completed | May 10, 2026, 5:38 a.m. |
Created at: April 10, 2026, 3:34 a.m.