Triple
T15142221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiko |
E361711
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Akasaka Estate |
E79598
|
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: Akasaka Estate | Statement: [Kiko, residence, Akasaka Estate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akasaka Estate Context triple: [Kiko, residence, Akasaka Estate]
-
A.
Akasaka East Residence
Akasaka East Residence is a notable residential building within Tokyo’s prestigious Akasaka district, known for its upscale urban living and proximity to major business and entertainment areas.
-
B.
Akasaka Estate, Tokyo
chosen
Akasaka Estate in Tokyo is a prominent imperial property that serves as the official residence of several members of the Japanese Imperial Family, including Aiko, Princess Toshi.
-
C.
Roppongi Hills
Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
-
D.
Aka Akasaka
Aka Akasaka is a Japanese manga artist and writer best known for creating the hit romantic comedy series "Kaguya-sama: Love Is War."
-
E.
Akasaka
Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.