Triple
T14812155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinsen Station |
E348206
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
神泉駅
神泉駅 is a small railway station on the Keio Inokashira Line located near Shibuya in Tokyo, Japan.
|
E1120038
|
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: 神泉駅 | Statement: [Shinsen Station, hasJapaneseName, 神泉駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 神泉駅 Context triple: [Shinsen Station, hasJapaneseName, 神泉駅]
-
A.
Sakuradamon Station
Sakuradamon Station is a Tokyo Metro subway station in central Tokyo, Japan, serving the area around the Imperial Palace and government offices.
-
B.
Gekkōji Station
Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
-
C.
Nagaokakyō Station
Nagaokakyō Station is a railway station in Nagaokakyō, Kyoto Prefecture, Japan, serving as a stop on JR West’s Tōkaidō Main Line in the Kyoto area.
-
D.
Sakuragawa Station
Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
-
E.
Nijōjō-mae Station
Nijōjō-mae Station is an underground metro station in Kyoto, Japan, serving the area around Nijo Castle on the Kyoto Municipal Subway 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: 神泉駅 Triple: [Shinsen Station, hasJapaneseName, 神泉駅]
Generated description
神泉駅 is a small railway station on the Keio Inokashira Line located near Shibuya in Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 神泉駅 Target entity description: 神泉駅 is a small railway station on the Keio Inokashira Line located near Shibuya in Tokyo, Japan.
-
A.
Sakuradamon Station
Sakuradamon Station is a Tokyo Metro subway station in central Tokyo, Japan, serving the area around the Imperial Palace and government offices.
-
B.
Gekkōji Station
Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
-
C.
Nagaokakyō Station
Nagaokakyō Station is a railway station in Nagaokakyō, Kyoto Prefecture, Japan, serving as a stop on JR West’s Tōkaidō Main Line in the Kyoto area.
-
D.
Sakuragawa Station
Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
-
E.
Nijōjō-mae Station
Nijōjō-mae Station is an underground metro station in Kyoto, Japan, serving the area around Nijo Castle on the Kyoto Municipal Subway 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ca88748190ae9e66bac5324e25 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe26d7be04819090860d5180c72329 |
completed | May 8, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe277c73c481908ca3bdb1c2113598 |
completed | May 8, 2026, 6:12 p.m. |
Created at: April 10, 2026, 1:47 a.m.