Triple
T8479140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiso Mountains |
E200470
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Kisokoma |
E738987
|
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: Mount Kisokoma | Statement: [Kiso Mountains, contains, Mount Kisokoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Kisokoma Context triple: [Kiso Mountains, contains, Mount Kisokoma]
-
A.
Mount Kisokoma
chosen
Mount Kisokoma is a prominent alpine peak in Japan’s Central Alps, known for its scenic highland landscapes and popular hiking routes.
-
B.
Mount Ntringui
Mount Ntringui is a volcanic peak on the island of Anjouan in the Comoros, known for its lush forests and prominence in the island’s rugged landscape.
-
C.
Mount Kiematubu
Mount Kiematubu is a volcanic peak that forms the highest point on the Indonesian island of Tidore in the Maluku Islands.
-
D.
Mount Ngungun
Mount Ngungun is a prominent volcanic plug and popular hiking destination within Queensland’s Glass House Mountains, known for its panoramic views of the surrounding peaks and coastline.
-
E.
Mount Tsivi
Mount Tsivi is the highest peak of Georgia’s Gombori Range in the Caucasus region.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5216d6481908e25a49bcc2e00cc |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d0a3abc8190a6fde29e728f15fe |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:12 p.m.