Triple
T17123563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanda district |
E415529
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Jimbocho |
E1192605
|
NE FINISHED |
How this triple was built (2 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: [Kanda district, adjacentTo, Jimbocho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimbocho Context triple: [Kanda district, adjacentTo, Jimbocho]
-
A.
Jimbocho
chosen
Jimbocho is a Tokyo neighborhood famed for its dense concentration of used bookstores, publishing houses, and student-friendly cafes.
-
B.
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.
-
C.
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.
-
D.
Shimabukuro
Shimabukuro is a Japanese surname most notably associated with virtuoso ukulele player Jake Shimabukuro.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.