Triple
T4932485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tanigawa |
E110728
|
entity |
| Predicate | nearestRailwayStation |
P4625
|
FINISHED |
| Object |
Doai Station
Doai Station is a remote, famously deep underground railway station in Gunma Prefecture, Japan, known for its long stairway and proximity to Mount Tanigawa.
|
E936202
|
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: Doai Station | Statement: [Mount Tanigawa, nearestRailwayStation, Doai Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doai Station Context triple: [Mount Tanigawa, nearestRailwayStation, Doai Station]
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
D.
Inaricho Station
Inaricho Station is a Tokyo Metro subway station on the Ginza Line located in the Taitō ward of Tokyo, Japan.
-
E.
Ikoma Station
Ikoma Station is a major railway hub in Ikoma, Nara Prefecture, Japan, serving as an interchange between Kintetsu lines and local transit.
- 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: Doai Station Triple: [Mount Tanigawa, nearestRailwayStation, Doai Station]
Generated description
Doai Station is a remote, famously deep underground railway station in Gunma Prefecture, Japan, known for its long stairway and proximity to Mount Tanigawa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doai Station Target entity description: Doai Station is a remote, famously deep underground railway station in Gunma Prefecture, Japan, known for its long stairway and proximity to Mount Tanigawa.
-
A.
Senkawa Station
Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Uguisudani Station
Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
-
D.
Inaricho Station
Inaricho Station is a Tokyo Metro subway station on the Ginza Line located in the Taitō ward of Tokyo, Japan.
-
E.
Ikoma Station
Ikoma Station is a major railway hub in Ikoma, Nara Prefecture, Japan, serving as an interchange between Kintetsu lines and local transit.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7063c57c8190a5a6fb3586238d35 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a6567f14819086134cdf3a13aa9b |
completed | April 22, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_69e8af93e07c8190aecb040cac6db146 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b254a2081909cba97a6ecb10601 |
completed | April 26, 2026, 6:36 p.m. |
Created at: March 20, 2026, 1:30 p.m.