Triple
T14306173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanchong District |
E354701
|
entity |
| Predicate | servedByMetroStation |
P28508
|
FINISHED |
| Object |
Sanchong Station
Sanchong Station is a metro station in New Taipei, Taiwan, that serves as a key transit point for commuters in the Sanchong District.
|
E1098575
|
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: Sanchong Station | Statement: [Sanchong District, servedByMetroStation, Sanchong Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanchong Station Context triple: [Sanchong District, servedByMetroStation, Sanchong Station]
-
A.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
B.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
C.
Dongsu Station
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
-
D.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
E.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
- 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: Sanchong Station Triple: [Sanchong District, servedByMetroStation, Sanchong Station]
Generated description
Sanchong Station is a metro station in New Taipei, Taiwan, that serves as a key transit point for commuters in the Sanchong District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanchong Station Target entity description: Sanchong Station is a metro station in New Taipei, Taiwan, that serves as a key transit point for commuters in the Sanchong District.
-
A.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
B.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
C.
Dongsu Station
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
-
D.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
E.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb9947481909cd16aa1d719fbe5 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d16cd708190b57e47deb9b98aae |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d8f337881908b245e63b60db249 |
completed | May 8, 2026, 3:50 a.m. |
Created at: April 10, 2026, 1:12 a.m.