Triple
T16770067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagatachō |
E407568
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kasumigaseki |
E180115
|
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: Kasumigaseki | Statement: [Nagatachō, adjacentTo, Kasumigaseki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasumigaseki Context triple: [Nagatachō, adjacentTo, Kasumigaseki]
-
A.
Kasumigaseki
chosen
Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
-
B.
Kasumigaoka
Kasumigaoka is a district in Shinjuku, Tokyo, known for encompassing the area around Japan’s National Stadium and parts of the Meiji Jingu Gaien sports and park complex.
-
C.
Hikarigaoka
Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
-
D.
Ogikubo
Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
-
E.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0356a9c8190b316cd00223e7537 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a533e83481909966a7b86c8c8e64 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.