Triple
T11934311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
茗荷谷駅
茗荷谷駅 is a Tokyo Metro Marunouchi Line subway station located in Bunkyō, Tokyo, serving a primarily residential and educational district.
|
E954813
|
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: 茗荷谷駅 | Statement: [文京区, hasRailwayStation, 茗荷谷駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 茗荷谷駅 Context triple: [文京区, hasRailwayStation, 茗荷谷駅]
-
A.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
B.
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。
-
C.
嵯峨嵐山駅
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
-
D.
三軒茶屋駅
三軒茶屋駅 is a major railway station in Tokyo’s Setagaya ward, serving as a key transit hub on the Tokyu Den-en-toshi and Setagaya Lines and a gateway to the lively Sangen-jaya neighborhood.
-
E.
JR黄檗駅
JR黄檗駅 is a railway station in Uji, Kyoto Prefecture, serving as a convenient access point to nearby educational and cultural facilities including Kyoto University’s Uji Campus.
- 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: 茗荷谷駅 Triple: [文京区, hasRailwayStation, 茗荷谷駅]
Generated description
茗荷谷駅 is a Tokyo Metro Marunouchi Line subway station located in Bunkyō, Tokyo, serving a primarily residential and educational district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 茗荷谷駅 Target entity description: 茗荷谷駅 is a Tokyo Metro Marunouchi Line subway station located in Bunkyō, Tokyo, serving a primarily residential and educational district.
-
A.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
B.
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。
-
C.
嵯峨嵐山駅
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
-
D.
三軒茶屋駅
三軒茶屋駅 is a major railway station in Tokyo’s Setagaya ward, serving as a key transit hub on the Tokyu Den-en-toshi and Setagaya Lines and a gateway to the lively Sangen-jaya neighborhood.
-
E.
JR黄檗駅
JR黄檗駅 is a railway station in Uji, Kyoto Prefecture, serving as a convenient access point to nearby educational and cultural facilities including Kyoto University’s Uji Campus.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4407cc2388190b0f849fbeed89ab7 |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.