Triple
T13207765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haruna |
E314408
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mount Haruna |
E109169
|
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 Haruna | Statement: [Haruna, namedAfter, Mount Haruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Haruna Context triple: [Haruna, namedAfter, Mount Haruna]
-
A.
Mount Haruna
chosen
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
-
B.
Mount Atago
Mount Atago is a prominent mountain in Japan, revered for its Shinto shrines and historical significance as a site dedicated to the fire deity Atago Gongen.
-
C.
Mount Ohiri
Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
-
D.
Mount Kumotori
Mount Kumotori is a prominent mountain on the border of Tokyo, Saitama, and Yamanashi Prefectures in Japan, known as one of the major peaks of the Okuchichibu Mountains and a popular hiking destination.
-
E.
Mount Hijiri
Mount Hijiri is a prominent peak in Japan’s Southern Alps, known for its alpine scenery and challenging hiking routes.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f15a99c8190b70a3e2a55e67a4e |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:17 p.m.