Triple
T1595891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga |
E34281
|
entity |
| Predicate | contains |
P35
|
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, contains, Lake Biwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Biwa Context triple: [Shiga, contains, 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 Ōnuma
Lake Ōnuma is a volcanic crater lake situated on Mount Akagi in Gunma Prefecture, Japan, known for its scenic beauty and outdoor recreation.
-
C.
Lake Kakumanbuchi
Lake Kakumanbuchi is a small crater lake situated on the volcanic Mount Akagi in Gunma Prefecture, Japan.
-
D.
Seto Inland Sea
The Seto Inland Sea is a sheltered body of water in western Japan, dotted with numerous islands and spanned by major bridges, known for its scenic beauty, mild climate, and historical role as an important maritime route.
-
E.
Osaka Bay
Osaka Bay is a shallow, industrially important inlet of the Seto Inland Sea in Japan, bordered by major cities like Osaka and Kobe and serving as a key hub for shipping and coastal development.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad608dfc688190a81a502c810f67fb |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:27 p.m.