Triple
T3793156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokosuka, Kanagawa, Japan |
E89704
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Zushi |
E594742
|
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: Zushi | Statement: [Yokosuka, Kanagawa, Japan, borderedBy, Zushi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zushi Context triple: [Yokosuka, Kanagawa, Japan, borderedBy, Zushi]
-
A.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
-
B.
Zushi, Kanagawa Prefecture
chosen
Zushi, Kanagawa Prefecture is a small coastal city in Japan known for its sandy beaches, residential character, and proximity to both Kamakura and central Tokyo.
-
C.
Morioka
Morioka is the capital city of Iwate Prefecture in Japan’s Tōhoku region, known for its historic castle site, surrounding mountains, and distinctive local noodle dishes.
-
D.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
E.
Ōsaki
Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76b809c81908312f308fbe85bf4 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9493bf8088190bc59dd0e36d16a20 |
completed | March 29, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:15 p.m.