Triple
T14880528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akaishi Mountains |
E349988
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Mount Warusawa |
E866062
|
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 Warusawa | Statement: [Akaishi Mountains, hasPeak, Mount Warusawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Warusawa Context triple: [Akaishi Mountains, hasPeak, Mount Warusawa]
-
A.
Mount Warusawa
chosen
Mount Warusawa is a prominent high peak in Japan’s Southern Alps, known for its rugged terrain and popularity among experienced hikers and mountaineers.
-
B.
Mount Hiuchi
Mount Hiuchi is a prominent peak in Japan’s Kubiki Mountains, renowned for its alpine scenery, seasonal wildflowers, and popularity among hikers.
-
C.
Mount Shirouma
Mount Shirouma is a prominent peak in Japan’s Northern Alps, known for its extensive snowfields, alpine flora, and popular hiking routes.
-
D.
Mount Goryu
Mount Goryu is a prominent peak in Japan’s Northern Alps, known for its ski resorts and alpine hiking within the Hakuba Valley area.
-
E.
Mount Utsugi
Mount Utsugi is a prominent peak in Japan’s Kiso Mountains, known for its alpine scenery and popular 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a4c2cc81908c8acd3a1123208a |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 1:55 a.m.