Triple
T7268647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoyama Campus |
E161042
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shibuya area |
E208724
|
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: Shibuya area | Statement: [Aoyama Campus, near, Shibuya area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shibuya area Context triple: [Aoyama Campus, near, Shibuya area]
-
A.
Shinagawa Station area
The Shinagawa Station area is a major commercial and transportation hub in Tokyo, known for its busy Shinkansen-connected railway terminal, high-rise offices, hotels, and shopping facilities.
-
B.
Shibuya
chosen
Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
-
C.
Roppongi
Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
-
D.
Yoyogi area of Shibuya
The Yoyogi area of Shibuya is a central Tokyo neighborhood known for its major sports and event facilities, leafy parks, and proximity to bustling Shibuya and Shinjuku districts.
-
E.
Iidabashi area
The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae8cc288190bc3ae3c7b38980d0 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c934c199f08190a8fbb7f3c6f5464c |
completed | March 29, 2026, 2:18 p.m. |
Created at: March 27, 2026, 2:58 p.m.