Triple
T14284798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 港区 |
E354141
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
虎ノ門
虎ノ門は、東京都港区に位置するオフィス街で、官庁や大企業の本社が集積し再開発が進むビジネスエリアです。
|
E1090670
|
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: 虎ノ門 | Statement: [港区, contains, 虎ノ門]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 虎ノ門 Context triple: [港区, contains, 虎ノ門]
-
A.
Tokyo Daishoten
Tokyo Daishoten is a prominent year-end Grade 1 dirt horse race in Japan, attracting top-level competitors from across the country and abroad.
-
B.
Shinjuku Mylord
Shinjuku Mylord is a popular multi-story shopping and dining complex directly connected to Shinjuku Station in Tokyo, known for its fashion boutiques, restaurants, and easy access to surrounding commercial areas.
-
C.
Meirokusha
Meirokusha was an influential Meiji-era Japanese intellectual society and journal circle that promoted Western learning, modernization, and political and social reform.
-
D.
Tokyo Kyojin
Tokyo Kyojin is an alternate name for the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams based in Tokyo.
-
E.
Yushima Seidō
Yushima Seidō is a historic Confucian temple and former educational center in Tokyo, Japan, known as a key site for Confucian learning during the Edo period.
- 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: 虎ノ門 Triple: [港区, contains, 虎ノ門]
Generated description
虎ノ門は、東京都港区に位置するオフィス街で、官庁や大企業の本社が集積し再開発が進むビジネスエリアです。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 虎ノ門 Target entity description: 虎ノ門は、東京都港区に位置するオフィス街で、官庁や大企業の本社が集積し再開発が進むビジネスエリアです。
-
A.
Tokyo Daishoten
Tokyo Daishoten is a prominent year-end Grade 1 dirt horse race in Japan, attracting top-level competitors from across the country and abroad.
-
B.
Shinjuku Mylord
Shinjuku Mylord is a popular multi-story shopping and dining complex directly connected to Shinjuku Station in Tokyo, known for its fashion boutiques, restaurants, and easy access to surrounding commercial areas.
-
C.
Meirokusha
Meirokusha was an influential Meiji-era Japanese intellectual society and journal circle that promoted Western learning, modernization, and political and social reform.
-
D.
Tokyo Kyojin
Tokyo Kyojin is an alternate name for the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams based in Tokyo.
-
E.
Yushima Seidō
Yushima Seidō is a historic Confucian temple and former educational center in Tokyo, Japan, known as a key site for Confucian learning during the Edo period.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1a6d8081908e857143c0c809c0 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3da6f0648190876dd86dd51e72cc |
completed | May 8, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e30868481908b55b368ab45c7fb |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 10, 2026, 1:10 a.m.