Triple
T17966255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsue |
E449214
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Lake Shinji |
—
|
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: Lake Shinji | Statement: [Matsue, locatedBetween, Lake Shinji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Shinji Context triple: [Matsue, locatedBetween, Lake Shinji]
-
A.
Lake Shinji
chosen
Lake Shinji is a brackish lake in Shimane Prefecture, Japan, renowned for its scenic sunsets, hot spring resorts, and abundant clam and eel fisheries.
-
B.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
C.
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.
-
D.
Lake Tanuki
Lake Tanuki is a scenic artificial lake in Fujinomiya, Shizuoka Prefecture, Japan, renowned for its views of Mount Fuji and popular for camping, fishing, and seasonal festivals.
-
E.
Lake Ikeda
Lake Ikeda is a large caldera lake in Kagoshima Prefecture, Japan, known for its scenic views, clear waters, and legends of a mysterious lake creature.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1380960819089a3c0dd7cd57e5e |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.