Triple
T14812775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirokanedai |
E348226
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Minato ward |
—
|
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: Minato ward | Statement: [Shirokanedai, partOf, Minato ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minato ward Context triple: [Shirokanedai, partOf, Minato ward]
-
A.
Minato-ku
Minato-ku is a central ward of Osaka, Japan, known for its waterfront attractions and major landmarks such as the Osaka Aquarium Kaiyukan.
-
B.
Minato
chosen
Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
-
C.
Minato Mirai district
Minato Mirai district is a modern waterfront urban area in Yokohama, Japan, known for its high-rise skyline, shopping and entertainment complexes, and scenic harbor views.
-
D.
Kōtō ward
Kōtō ward is a special ward in eastern Tokyo known for its mix of traditional shitamachi neighborhoods, waterfront areas, and modern residential and commercial districts.
-
E.
Toshima ward
Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 1:48 a.m.