Triple
T16154490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijubashi |
E392001
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Chiyoda City |
—
|
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: Chiyoda City | Statement: [Nijubashi, municipality, Chiyoda City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiyoda City Context triple: [Nijubashi, municipality, Chiyoda City]
-
A.
Shinagawa City
Shinagawa City is a special ward in Tokyo, Japan, known as a major commercial and transportation hub with a mix of business districts and residential neighborhoods.
-
B.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
-
C.
Kōtō City
Kōtō City is a special ward in eastern Tokyo known for its waterfront areas, modern residential and commercial districts, and cultural sites such as museums and event venues.
-
D.
Chiyoda
chosen
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
-
E.
Chiyoda
Chiyoda was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in World War II and was sunk during the Battle off Cape Engaño in 1944.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:01 a.m.