Triple
T21372347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showa University |
E527098
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Hatanodai, Shinagawa, Tokyo |
—
|
NE NERFINISHED |
How this triple was built (3 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: Hatanodai, Shinagawa, Tokyo | Statement: [Showa University, hasCampusIn, Hatanodai, Shinagawa, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatanodai, Shinagawa, Tokyo Context triple: [Showa University, hasCampusIn, Hatanodai, Shinagawa, Tokyo]
-
A.
Shinagawa, Tokyo
Shinagawa, Tokyo is a major commercial and residential ward in southern Tokyo known for its busy railway hub, waterfront developments, and mix of business districts and traditional neighborhoods.
-
B.
Shinagawa, Tokyo, Japan
Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
-
C.
Ichigaya district, Tokyo
Ichigaya district, Tokyo is a central Tokyo neighborhood known for hosting major government and defense institutions, including Japan’s Ministry of Defense.
-
D.
Naka Ward, Yokohama
Naka Ward, Yokohama is a central district of Yokohama, Japan, known for its historic port area, waterfront attractions, and major commercial and entertainment hubs.
-
E.
Itabashi, Tokyo
Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatanodai, Shinagawa, Tokyo Target entity description: Hatanodai, Shinagawa, Tokyo is a residential neighborhood in Tokyo’s Shinagawa ward known for its convenient rail connections and proximity to educational and medical institutions.
-
A.
Shinagawa, Tokyo
Shinagawa, Tokyo is a major commercial and residential ward in southern Tokyo known for its busy railway hub, waterfront developments, and mix of business districts and traditional neighborhoods.
-
B.
Shinagawa, Tokyo, Japan
Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
-
C.
Ichigaya district, Tokyo
Ichigaya district, Tokyo is a central Tokyo neighborhood known for hosting major government and defense institutions, including Japan’s Ministry of Defense.
-
D.
Naka Ward, Yokohama
Naka Ward, Yokohama is a central district of Yokohama, Japan, known for its historic port area, waterfront attractions, and major commercial and entertainment hubs.
-
E.
Itabashi, Tokyo
Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
- F. None of above. chosen
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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b0d5ec81908da8f38380dbdc7a |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.