Triple
T11741901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga-Arashiyama Station |
E279174
|
entity |
| Predicate | adjacentStationOnLine |
P41425
|
FINISHED |
| Object |
Hozukyo Station
Hozukyo Station is a small railway station in Kyoto, Japan, serving the scenic Hozu Gorge area and providing access to nature spots and river activities.
|
E1458348
|
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: Hozukyo Station | Statement: [Saga-Arashiyama Station, adjacentStationOnLine, Hozukyo Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hozukyo Station Context triple: [Saga-Arashiyama Station, adjacentStationOnLine, Hozukyo Station]
-
A.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
B.
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
-
C.
Hatagaya Station
Hatagaya Station is a railway station in Shibuya, Tokyo, serving the Keio New Line as a local transit hub for the Hatagaya neighborhood.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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: Hozukyo Station Triple: [Saga-Arashiyama Station, adjacentStationOnLine, Hozukyo Station]
Generated description
Hozukyo Station is a small railway station in Kyoto, Japan, serving the scenic Hozu Gorge area and providing access to nature spots and river activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hozukyo Station Target entity description: Hozukyo Station is a small railway station in Kyoto, Japan, serving the scenic Hozu Gorge area and providing access to nature spots and river activities.
-
A.
Kujo Station
Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
-
B.
Kujo Station
Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
-
C.
Hatagaya Station
Hatagaya Station is a railway station in Shibuya, Tokyo, serving the Keio New Line as a local transit hub for the Hatagaya neighborhood.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f191388190bd6ef7e80c41ca48 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fab0bf08190a851081f762bab68 |
completed | May 17, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a09218a0cdc8190b0edc603fee398f0 |
completed | May 17, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a092297a76081909ecfb5968ed9e7a0 |
completed | May 17, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:41 p.m.