Triple
T3200331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV Yokosuka |
E67033
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | city of Yokosuka |
E89704
|
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: city of Yokosuka | Statement: [RV Yokosuka, namedAfter, city of Yokosuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Yokosuka Context triple: [RV Yokosuka, namedAfter, city of Yokosuka]
-
A.
Yokosuka
Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
-
B.
Yokosuka Naval Base
Yokosuka Naval Base is a major United States Navy installation in Japan that serves as the home port for the U.S. Seventh Fleet and a key hub for naval operations in the Western Pacific.
-
C.
Sasebo, Japan
Sasebo, Japan is a major port city in Nagasaki Prefecture known for its long-standing role as a strategic naval base and shipbuilding center.
-
D.
Yokosuka, Kanagawa, Japan
chosen
Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
-
E.
Shizuoka City, Japan
Shizuoka City, Japan is a coastal city in central Honshu known for its views of Mount Fuji, green tea production, and role as a regional economic and cultural center.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bc3695c8190abd58dbc74ca2271 |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.