Triple
T15645430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Haishan station
Haishan station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
|
E1183912
|
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: Haishan station | Statement: [Bannan line, hasStation, Haishan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haishan station Context triple: [Bannan line, hasStation, Haishan station]
-
A.
Baishizhou station
Baishizhou station is a metro station in Shenzhen, China, serving the densely populated Baishizhou area and nearby attractions such as Window of the World.
-
B.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
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.
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.
-
E.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern 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: Haishan station Triple: [Bannan line, hasStation, Haishan station]
Generated description
Haishan station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haishan station Target entity description: Haishan station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
-
A.
Baishizhou station
Baishizhou station is a metro station in Shenzhen, China, serving the densely populated Baishizhou area and nearby attractions such as Window of the World.
-
B.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
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.
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.
-
E.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed400ec8190a14a9f7cf3092865 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59535908190a3d085a5e74b06e8 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:15 a.m.