Triple
T5677192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Policy Bureau |
E125114
|
entity |
| Predicate | locatedIn |
P40
|
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: [Foreign Policy Bureau, locatedIn, Kasumigaseki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasumigaseki Context triple: [Foreign Policy Bureau, locatedIn, 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.
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.
-
C.
Ryūjō
Ryūjō was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II before being sunk during the Battle of the Eastern Solomons in 1942.
-
D.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
E.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02392f9f481908f7b80873589eff1 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:43 p.m.