Triple
T23320665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South-Link Line |
E591140
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Taimali Station
Taimali Station is a railway station in Taimali Township, Taitung County, Taiwan, serving passengers on the scenic South-Link Line that connects eastern and southern Taiwan.
|
E1580718
|
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: Taimali Station | Statement: [South-Link Line, hasStation, Taimali Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taimali Station Context triple: [South-Link Line, hasStation, Taimali Station]
-
A.
Kaladar Station
Kaladar Station is a small rural community within the township of Addington Highlands in eastern Ontario, Canada.
-
B.
Lundamo Station
Lundamo Station is a local railway stop serving the village of Lundamo in Melhus municipality in Trøndelag county, Norway.
-
C.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
D.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
E.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
- 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: Taimali Station Triple: [South-Link Line, hasStation, Taimali Station]
Generated description
Taimali Station is a railway station in Taimali Township, Taitung County, Taiwan, serving passengers on the scenic South-Link Line that connects eastern and southern Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taimali Station Target entity description: Taimali Station is a railway station in Taimali Township, Taitung County, Taiwan, serving passengers on the scenic South-Link Line that connects eastern and southern Taiwan.
-
A.
Kaladar Station
Kaladar Station is a small rural community within the township of Addington Highlands in eastern Ontario, Canada.
-
B.
Lundamo Station
Lundamo Station is a local railway stop serving the village of Lundamo in Melhus municipality in Trøndelag county, Norway.
-
C.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
D.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
E.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19785ae5481908816b37da95ceb3e |
completed | April 29, 2026, 5:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4ca7d6b48190b3dbdc716333bb8f |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4fe862988190822c9ed08b8cf3cc |
completed | May 19, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c50888584819087cce519563da170 |
completed | May 19, 2026, 11:59 a.m. |
Created at: April 17, 2026, 5:07 p.m.