Triple
T16078654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suidobashi area |
E390040
|
entity |
| Predicate | adjacentArea |
P17964
|
FINISHED |
| Object |
Jimbocho
Jimbocho is a Tokyo neighborhood famed for its dense concentration of used bookstores, publishing houses, and student-friendly cafes.
|
E1192605
|
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: Jimbocho | Statement: [Suidobashi area, adjacentArea, Jimbocho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimbocho Context triple: [Suidobashi area, adjacentArea, Jimbocho]
-
A.
Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
-
B.
Jimbo
Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
-
C.
Shimabukuro
Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
-
D.
Jino
Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
-
E.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
- 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: Jimbocho Triple: [Suidobashi area, adjacentArea, Jimbocho]
Generated description
Jimbocho is a Tokyo neighborhood famed for its dense concentration of used bookstores, publishing houses, and student-friendly cafes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimbocho Target entity description: Jimbocho is a Tokyo neighborhood famed for its dense concentration of used bookstores, publishing houses, and student-friendly cafes.
-
A.
Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
-
B.
Jimbo
Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
-
C.
Shimabukuro
Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
-
D.
Jino
Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
-
E.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48907148190ab04520717141788 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.