Triple
T21715684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湘新 |
E536021
|
entity |
| Predicate | connectsArea |
P2564
|
FINISHED |
| Object | Shōnan area |
—
|
NE NERFINISHED |
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: Shōnan area | Statement: [湘新, connectsArea, Shōnan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shōnan area Context triple: [湘新, connectsArea, Shōnan area]
-
A.
Shonan region
chosen
The Shonan region is a popular coastal area in Kanagawa Prefecture, Japan, known for its beaches, surfing culture, and relaxed seaside lifestyle.
-
B.
Aoyama area
The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
-
C.
Fujieda area
The Fujieda area is a coastal region in Shizuoka Prefecture, Japan, known for its proximity to Suruga Bay and its role as a local commercial and residential center.
-
D.
Greater Maebashi–Takasaki area
The Greater Maebashi–Takasaki area is a major urban and economic region in Gunma Prefecture, Japan, centered on the twin cities of Maebashi and Takasaki.
-
E.
Izumi-Chūō area
The Izumi-Chūō area is a commercial district in Izumi-ku known for its concentration of shops, services, and local businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.