Triple
T14016689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 六甲アイランド |
E337221
|
entity |
| Predicate | 接続駅 |
P65119
|
FINISHED |
| Object |
魚崎駅
魚崎駅は、神戸市東灘区に位置し、六甲ライナーと阪神本線が乗り換え可能な交通結節点となっている鉄道駅です。
|
E1073324
|
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: 魚崎駅 | Statement: [六甲アイランド, 接続駅, 魚崎駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 魚崎駅 Context triple: [六甲アイランド, 接続駅, 魚崎駅]
-
A.
村野駅
村野駅は、大阪府交野市に位置し、京阪電気鉄道交野線が乗り入れる地域の生活拠点となっている鉄道駅です。
-
B.
千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
-
C.
津田駅
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線(片町線)が乗り入れる地域の主要な鉄道駅です。
-
D.
Ishibashi Station
Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
-
E.
Kawachi-Matsubara Station
Kawachi-Matsubara Station is a railway station in Fujiidera, Osaka Prefecture, Japan, serving as a local transit hub on the Kintetsu Minami Osaka 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: 魚崎駅 Triple: [六甲アイランド, 接続駅, 魚崎駅]
Generated description
魚崎駅は、神戸市東灘区に位置し、六甲ライナーと阪神本線が乗り換え可能な交通結節点となっている鉄道駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 魚崎駅 Target entity description: 魚崎駅は、神戸市東灘区に位置し、六甲ライナーと阪神本線が乗り換え可能な交通結節点となっている鉄道駅です。
-
A.
村野駅
村野駅は、大阪府交野市に位置し、京阪電気鉄道交野線が乗り入れる地域の生活拠点となっている鉄道駅です。
-
B.
千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
-
C.
津田駅
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線(片町線)が乗り入れる地域の主要な鉄道駅です。
-
D.
Ishibashi Station
Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
-
E.
Kawachi-Matsubara Station
Kawachi-Matsubara Station is a railway station in Fujiidera, Osaka Prefecture, Japan, serving as a local transit hub on the Kintetsu Minami Osaka 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae186bb881908ea17ae6b12825af |
completed | May 6, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaebaab508190a609fa151c686a0d |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.