Triple
T15645446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Houshanpi station
Houshanpi station is a metro station on Taipei's Bannan (Blue) Line serving the eastern part of the city.
|
E1256723
|
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: Houshanpi station | Statement: [Bannan line, hasStation, Houshanpi station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houshanpi station Context triple: [Bannan line, hasStation, Houshanpi station]
-
A.
Puhuangyu station
Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive rapid transit network.
-
B.
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.
-
C.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
D.
Lishuiqiao station
Lishuiqiao station is a Beijing Subway interchange station in northern Beijing that connects Line 13 with other urban rail lines and serves nearby residential and commercial areas.
-
E.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- 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: Houshanpi station Triple: [Bannan line, hasStation, Houshanpi station]
Generated description
Houshanpi station is a metro station on Taipei's Bannan (Blue) Line serving the eastern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Houshanpi station Target entity description: Houshanpi station is a metro station on Taipei's Bannan (Blue) Line serving the eastern part of the city.
-
A.
Puhuangyu station
Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive rapid transit network.
-
B.
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.
-
C.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
D.
Lishuiqiao station
Lishuiqiao station is a Beijing Subway interchange station in northern Beijing that connects Line 13 with other urban rail lines and serves nearby residential and commercial areas.
-
E.
Wanshengwei Station
Wanshengwei Station is a metro station in Guangzhou, China, serving as a transport hub within the Guangzhou Metro network.
- 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_6a015fb168548190afb975ef60fa5f3e |
completed | May 11, 2026, 4:48 a.m. |
| NEDg | Description generation | batch_6a0161b31540819098aa6275f96433ad |
completed | May 11, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016299d9ac8190be74d5db0d28ea36 |
completed | May 11, 2026, 5:01 a.m. |
Created at: April 10, 2026, 4:15 a.m.