Triple
T5553213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湘南新宿ライン |
E145575
|
entity |
| Predicate | 代表的終点駅 |
P34947
|
FINISHED |
| Object |
国府津駅
国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
|
E536025
|
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: 国府津駅 | Statement: [湘南新宿ライン, 代表的終点駅, 国府津駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 国府津駅 Context triple: [湘南新宿ライン, 代表的終点駅, 国府津駅]
-
A.
Gokurakubashi Station
Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
-
B.
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.
-
C.
Nagaoka Station
Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
-
D.
Utsunomiya Station
Utsunomiya Station is a major railway hub in Utsunomiya, Tochigi Prefecture, Japan, served by multiple JR East lines and Shinkansen services.
-
E.
Shinanomachi Station
Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
- 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: 国府津駅 Triple: [湘南新宿ライン, 代表的終点駅, 国府津駅]
Generated description
国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 国府津駅 Target entity description: 国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
-
A.
Gokurakubashi Station
Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
-
B.
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.
-
C.
Nagaoka Station
Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
-
D.
Utsunomiya Station
Utsunomiya Station is a major railway hub in Utsunomiya, Tochigi Prefecture, Japan, served by multiple JR East lines and Shinkansen services.
-
E.
Shinanomachi Station
Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021d76e4081908570dc34217c66fe |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cfc6f808190a39c607f61dcfa32 |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:35 p.m.