Triple
T18024955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akagi mountain lakes |
E431221
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Onuma Lake |
—
|
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: Onuma Lake | Statement: [Akagi mountain lakes, hasLake, Onuma Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onuma Lake Context triple: [Akagi mountain lakes, hasLake, Onuma Lake]
-
A.
Okabena Lake
Okabena Lake is a natural freshwater lake in southwestern Minnesota known for recreation and its proximity to the city of Worthington.
-
B.
Lake Ōnuma
chosen
Lake Ōnuma is a volcanic crater lake situated on Mount Akagi in Gunma Prefecture, Japan, known for its scenic beauty and outdoor recreation.
-
C.
Onota Lake
Onota Lake is a scenic recreational lake in Pittsfield, Massachusetts, popular for boating, fishing, and lakeside activities in the Berkshires region.
-
D.
Lake Akimoto
Lake Akimoto is a dammed lake in Fukushima Prefecture, Japan, known as part of the scenic Bandai-kōgen highland lake district formed by the eruption of Mount Bandai.
-
E.
Lake Onogawa
Lake Onogawa is a small volcanic lake in Fukushima Prefecture, Japan, formed in the aftermath of eruptions of Mount Bandai.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c554348190bd0df06d0cfe188e |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.