Triple
T1592256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumida |
E34202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ryōgoku
Ryōgoku is a historic district in Tokyo best known as the heart of professional sumo wrestling and home to the Ryōgoku Kokugikan arena.
|
E188824
|
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: Ryōgoku | Statement: [Sumida, contains, Ryōgoku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryōgoku Context triple: [Sumida, contains, Ryōgoku]
-
A.
Asakusa
Asakusa is a historic district in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
-
B.
Yoyogi Park
Yoyogi Park is one of Tokyo’s largest and most popular urban parks, known for its spacious lawns, seasonal cherry blossoms, and role as a major recreational and cultural gathering spot.
-
C.
Ueno
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
-
D.
Nipponbashi
Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
-
E.
Bunkyo, Tokyo
Bunkyo, Tokyo is a central special ward of Tokyo known for its educational institutions, cultural sites, and major sports venues such as the Tokyo Dome.
- 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: Ryōgoku Triple: [Sumida, contains, Ryōgoku]
Generated description
Ryōgoku is a historic district in Tokyo best known as the heart of professional sumo wrestling and home to the Ryōgoku Kokugikan arena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryōgoku Target entity description: Ryōgoku is a historic district in Tokyo best known as the heart of professional sumo wrestling and home to the Ryōgoku Kokugikan arena.
-
A.
Asakusa
Asakusa is a historic district in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
-
B.
Yoyogi Park
Yoyogi Park is one of Tokyo’s largest and most popular urban parks, known for its spacious lawns, seasonal cherry blossoms, and role as a major recreational and cultural gathering spot.
-
C.
Ueno
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
-
D.
Nipponbashi
Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
-
E.
Bunkyo, Tokyo
Bunkyo, Tokyo is a central special ward of Tokyo known for its educational institutions, cultural sites, and major sports venues such as the Tokyo Dome.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2c480008190bb472cfdab74c387 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad719f91cc8190aaacaa583098732a |
completed | March 8, 2026, 12:54 p.m. |
| NEDg | Description generation | batch_69ad72016c3c8190ac3bd11bab59fdf0 |
completed | March 8, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7277b5f081908a8af047032aa15a |
completed | March 8, 2026, 12:58 p.m. |
Created at: March 4, 2026, 7:27 p.m.