Triple
T11932546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tainan HSR Station |
E283948
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Zuoying HSR Station
Zuoying HSR Station is a major Taiwan High Speed Rail terminal in Kaohsiung that serves as the primary high-speed rail gateway to southern Taiwan.
|
E954747
|
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: Zuoying HSR Station | Statement: [Tainan HSR Station, connectsTo, Zuoying HSR Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuoying HSR Station Context triple: [Tainan HSR Station, connectsTo, Zuoying HSR 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.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
-
C.
Songyuan Road Station
Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
-
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.
Luoxi station
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit 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: Zuoying HSR Station Triple: [Tainan HSR Station, connectsTo, Zuoying HSR Station]
Generated description
Zuoying HSR Station is a major Taiwan High Speed Rail terminal in Kaohsiung that serves as the primary high-speed rail gateway to southern Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zuoying HSR Station Target entity description: Zuoying HSR Station is a major Taiwan High Speed Rail terminal in Kaohsiung that serves as the primary high-speed rail gateway to southern Taiwan.
-
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.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
-
C.
Songyuan Road Station
Songyuan Road Station is a Shanghai Metro station located in the city's Changning District.
-
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.
Luoxi station
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4407cc2388190b0f849fbeed89ab7 |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.