Triple
T6820143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōta, Tokyo |
E156876
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Den-en-chōfu
Den-en-chōfu is an upscale residential neighborhood in Tokyo known for its garden-city design, tree-lined streets, and low-rise, affluent housing.
|
E622622
|
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: Den-en-chōfu | Statement: [Ōta, Tokyo, contains, Den-en-chōfu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Den-en-chōfu Context triple: [Ōta, Tokyo, contains, Den-en-chōfu]
-
A.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
B.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
C.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
D.
Nihon Shuwa
Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
-
E.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
- 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: Den-en-chōfu Triple: [Ōta, Tokyo, contains, Den-en-chōfu]
Generated description
Den-en-chōfu is an upscale residential neighborhood in Tokyo known for its garden-city design, tree-lined streets, and low-rise, affluent housing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Den-en-chōfu Target entity description: Den-en-chōfu is an upscale residential neighborhood in Tokyo known for its garden-city design, tree-lined streets, and low-rise, affluent housing.
-
A.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
B.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
C.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
D.
Nihon Shuwa
Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
-
E.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d359176c8190a34664ba2fcf7ee2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e797908190bb0a2d22556b5906 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724e915dc8190a82b69939f78420d |
completed | March 28, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c728ddadd881909c2faa435031a635 |
completed | March 28, 2026, 1:03 a.m. |
Created at: March 27, 2026, 2:17 p.m.