Triple
T8406470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga University |
E198511
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Biwa |
E170762
|
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: Lake Biwa | Statement: [Shiga University, locatedNear, Lake Biwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Biwa Context triple: [Shiga University, locatedNear, Lake Biwa]
-
A.
Lake Biwa
chosen
Lake Biwa is Japan’s largest and one of its oldest freshwater lakes, located in Shiga Prefecture near Kyoto and renowned for its biodiversity and cultural significance.
-
B.
Lake Kussharo
Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
-
C.
Lake Shikotsu
Lake Shikotsu is a deep caldera lake in Hokkaido, Japan, renowned for its exceptionally clear water and scenic volcanic surroundings.
-
D.
Lake Motosu
Lake Motosu is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, renowned for its clear deep waters and iconic views of Mount Fuji reflected on its surface.
-
E.
Lake Yamanaka
Lake Yamanaka is the largest of the Fuji Five Lakes in Japan, known for its scenic views of Mount Fuji and popularity as a resort and recreational area.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8312941c8190af0b2def0a4e02be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03035e148190867b60ddaeb8d761 |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:05 p.m.