Triple
T8262981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokota Air Base |
E193236
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Fussa, Tokyo |
E315913
|
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: Fussa, Tokyo | Statement: [Yokota Air Base, location, Fussa, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fussa, Tokyo Context triple: [Yokota Air Base, location, Fussa, Tokyo]
-
A.
Fussa, Tokyo
chosen
Fussa, Tokyo is a city in western Tokyo Metropolis known for hosting the Yokota Air Base and having a strong U.S. military presence.
-
B.
Kunitachi, Tokyo
Kunitachi, Tokyo is a suburban city in western Tokyo known for its academic institutions, tree-lined avenues, and reputation as a quiet, residential college town.
-
C.
Katsushika, Tokyo
Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
-
D.
Aoyama, Tokyo
Aoyama, Tokyo is an upscale neighborhood in Minato Ward known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
-
E.
Toshima, Tokyo
Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793991b481908ad7221405e88ab7 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bdc87fc8190a5ae0883742cb08c |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 5:49 p.m.