Triple
T15476458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Airport MRT |
E376791
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Linghang Station
Linghang Station is a metro station on Taiwan's Taoyuan Airport MRT line serving the area near Taoyuan International Airport.
|
E1207678
|
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: Linghang Station | Statement: [Taoyuan Airport MRT, hasStation, Linghang Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linghang Station Context triple: [Taoyuan Airport MRT, hasStation, Linghang Station]
-
A.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
B.
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.
-
C.
Jiangtai Station
Jiangtai Station is a Beijing Subway station that serves as a key access point to the nearby 798 Art Zone and surrounding Chaoyang District areas.
-
D.
Luyuan station
Luyuan station is a subway station on Beijing's Line 8 serving passengers in the city's urban transit network.
-
E.
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.
- 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: Linghang Station Triple: [Taoyuan Airport MRT, hasStation, Linghang Station]
Generated description
Linghang Station is a metro station on Taiwan's Taoyuan Airport MRT line serving the area near Taoyuan International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linghang Station Target entity description: Linghang Station is a metro station on Taiwan's Taoyuan Airport MRT line serving the area near Taoyuan International Airport.
-
A.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
B.
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.
-
C.
Jiangtai Station
Jiangtai Station is a Beijing Subway station that serves as a key access point to the nearby 798 Art Zone and surrounding Chaoyang District areas.
-
D.
Luyuan station
Luyuan station is a subway station on Beijing's Line 8 serving passengers in the city's urban transit network.
-
E.
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.
- 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_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0029d7f4988190884ec34f55338b28 |
completed | May 10, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002a4753608190b0d31a1913b2ba2c |
completed | May 10, 2026, 6:48 a.m. |
Created at: April 10, 2026, 3:34 a.m.