Triple
T23539742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Higher Commercial School |
E577706
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kanda |
—
|
NE NERFINISHED |
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: Kanda | Statement: [Tokyo Higher Commercial School, locatedIn, Kanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanda Context triple: [Tokyo Higher Commercial School, locatedIn, Kanda]
-
A.
Kanda
Kanda is a town in Fukuoka Prefecture, Japan, that forms part of the broader Fukuoka-Kitakyushu urban and industrial region on Kyushu.
-
B.
Kanda
Kanda is a dialect of the Kisukuma language spoken by the Sukuma people of Tanzania.
-
C.
Kanda
chosen
Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
-
D.
Kanda-Sudacho
Kanda-Sudacho is a neighborhood in Tokyo’s Chiyoda ward known for its mix of traditional small businesses, historic streets, and central urban location.
-
E.
Urakawa
Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.