Triple
T10838751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Kawaguchi |
E255830
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Fujikawaguchiko |
E525719
|
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: Fujikawaguchiko | Statement: [Lake Kawaguchi, locatedNear, Fujikawaguchiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fujikawaguchiko Context triple: [Lake Kawaguchi, locatedNear, Fujikawaguchiko]
-
A.
Fujikawaguchiko
chosen
Fujikawaguchiko is a Japanese resort town in Yamanashi Prefecture known for its views of Mount Fuji and Lake Kawaguchi, hot springs, and access to Fuji Five Lakes.
-
B.
Higashimurayama
Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
-
C.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
D.
Kusatsu
Kusatsu is a Japanese city in Shiga Prefecture known as a regional commercial hub and transportation crossroads near Lake Biwa.
-
E.
Kawagoe
Kawagoe is a historic Japanese city in Saitama Prefecture, often called "Little Edo" for its well-preserved Edo-period streetscapes and traditional warehouses.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747012fa48190af06de2cfb231d5b |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde158a5a48190b3945945f94f97a0 |
completed | May 8, 2026, 1:12 p.m. |
Created at: April 8, 2026, 9:19 p.m.