Triple
T6236857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Tokyo |
E139497
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hamamatsuchō
Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
|
E602853
|
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: Hamamatsuchō | Statement: [central Tokyo, contains, Hamamatsuchō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamamatsuchō Context triple: [central Tokyo, contains, Hamamatsuchō]
-
A.
Toshima
Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
-
B.
Nishi-Tobecho
Nishi-Tobecho is a notable neighborhood within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
C.
Musashi-Koyama
Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
-
D.
Bunkyō
Bunkyō is a central Tokyo ward known for its universities, historic temples, and quiet residential neighborhoods.
-
E.
Sawara-ku
Sawara-ku is one of the wards of Fukuoka City in Japan, known for its mix of residential areas, universities, and coastal attractions along the Sea of Japan.
- 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: Hamamatsuchō Triple: [central Tokyo, contains, Hamamatsuchō]
Generated description
Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamamatsuchō Target entity description: Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
-
A.
Toshima
Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
-
B.
Nishi-Tobecho
Nishi-Tobecho is a notable neighborhood within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
C.
Musashi-Koyama
Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
-
D.
Bunkyō
Bunkyō is a central Tokyo ward known for its universities, historic temples, and quiet residential neighborhoods.
-
E.
Sawara-ku
Sawara-ku is one of the wards of Fukuoka City in Japan, known for its mix of residential areas, universities, and coastal attractions along the Sea of Japan.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063021258819093a9237041816638 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d4fdd7288190bb9aef680beb906d |
completed | March 27, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69c6d622831c8190b09b8539e36afb7c |
completed | March 27, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d6b00ebc8190b893b3e209bf07c0 |
completed | March 27, 2026, 7:12 p.m. |
Created at: March 22, 2026, 4:23 p.m.