Triple
T16814340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daikanyama Station |
E408700
|
entity |
| Predicate | hasLanguageName |
P15
|
FINISHED |
| Object |
代官山駅
代官山駅は、東京都渋谷区の代官山エリアに位置し、東急東横線が乗り入れるおしゃれな街の玄関口となる鉄道駅です。
|
E1234609
|
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: 代官山駅 | Statement: [Daikanyama Station, hasLanguageName, 代官山駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 代官山駅 Context triple: [Daikanyama Station, hasLanguageName, 代官山駅]
-
A.
Nakameguro Station
Nakameguro Station is a major railway station in Tokyo’s Meguro ward that serves as an important transit hub and gateway to the trendy Nakameguro neighborhood.
-
B.
千駄ケ谷駅
千駄ケ谷駅は、東京都渋谷区に位置し、主にJR中央・総武線各駅停車が発着する駅です。
-
C.
Shinjuku-sanchome Station
Shinjuku-sanchome Station is a major underground railway station in Tokyo’s Shinjuku district that serves multiple Tokyo Metro lines and provides convenient access to shopping, entertainment, and business areas.
-
D.
Shirokane-takanawa Station
Shirokane-takanawa Station is a subway station in Minato, Tokyo, jointly operated by Tokyo Metro and Toei Subway, serving as an interchange between the Namboku and Mita lines.
-
E.
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.
- 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: 代官山駅 Triple: [Daikanyama Station, hasLanguageName, 代官山駅]
Generated description
代官山駅は、東京都渋谷区の代官山エリアに位置し、東急東横線が乗り入れるおしゃれな街の玄関口となる鉄道駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 代官山駅 Target entity description: 代官山駅は、東京都渋谷区の代官山エリアに位置し、東急東横線が乗り入れるおしゃれな街の玄関口となる鉄道駅です。
-
A.
Nakameguro Station
Nakameguro Station is a major railway station in Tokyo’s Meguro ward that serves as an important transit hub and gateway to the trendy Nakameguro neighborhood.
-
B.
千駄ケ谷駅
千駄ケ谷駅は、東京都渋谷区に位置し、主にJR中央・総武線各駅停車が発着する駅です。
-
C.
Shinjuku-sanchome Station
Shinjuku-sanchome Station is a major underground railway station in Tokyo’s Shinjuku district that serves multiple Tokyo Metro lines and provides convenient access to shopping, entertainment, and business areas.
-
D.
Shirokane-takanawa Station
Shirokane-takanawa Station is a subway station in Minato, Tokyo, jointly operated by Tokyo Metro and Toei Subway, serving as an interchange between the Namboku and Mita lines.
-
E.
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.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2946ddc81908b1e7c662dc943ff |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3aafac08190b3e0181780f45392 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b46ab0608190bc59abb99842e6d4 |
completed | May 10, 2026, 4:38 p.m. |
Created at: April 10, 2026, 5:23 a.m.