Triple
T6785724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yotsuya |
E155796
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Shinanomachi
Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
|
E849303
|
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: Shinanomachi | Statement: [Yotsuya, adjacentTo, Shinanomachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinanomachi Context triple: [Yotsuya, adjacentTo, Shinanomachi]
-
A.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
D.
Azumino City
Azumino City is a scenic municipality in central Japan known for its rural landscapes, clear spring water, and views of the Northern Japan Alps.
-
E.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
- 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: Shinanomachi Triple: [Yotsuya, adjacentTo, Shinanomachi]
Generated description
Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinanomachi Target entity description: Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
-
A.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
D.
Azumino City
Azumino City is a scenic municipality in central Japan known for its rural landscapes, clear spring water, and views of the Northern Japan Alps.
-
E.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d62a4407388190a5d80f4773dd3dad |
completed | April 8, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d62aaffdcc8190a6904a5244417cb5 |
completed | April 8, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d62b023fcc8190a6cd87f18b87824b |
completed | April 8, 2026, 10:16 a.m. |
Created at: March 27, 2026, 2:14 p.m.