Triple
T14446750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 100 Famous Japanese Mountains |
E358227
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mount Kaikoma |
E868901
|
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 Kaikoma | Statement: [100 Famous Japanese Mountains, hasPart, Mount Kaikoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Kaikoma Context triple: [100 Famous Japanese Mountains, hasPart, Mount Kaikoma]
-
A.
Mount Kaikoma
chosen
Mount Kaikoma is a prominent, granite-peaked mountain in Japan’s Southern Alps, known for its rugged terrain and popular hiking and climbing routes.
-
B.
Mount Kaweah
Mount Kaweah is a prominent high peak in California’s Sierra Nevada, known for its rugged terrain and scenic alpine surroundings within Sequoia National Park.
-
C.
Mount Kawi
Mount Kawi is a stratovolcano in East Java, Indonesia, known for its scenic highland landscapes and cultural significance to local communities.
-
D.
Mount Kanobili
Mount Kanobili is a mountain in southern Georgia notable for hosting the Abastumani Astrophysical Observatory.
-
E.
Mount Noro
Mount Noro is a scenic mountain in Kure, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing opportunities.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31670a48190a606e812a2aa0a6e |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 1:19 a.m.