Triple
T8479173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiso Mountains |
E200470
|
entity |
| Predicate | notablePeak |
P20909
|
FINISHED |
| Object | Mount Hōken |
E743105
|
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 Hōken | Statement: [Kiso Mountains, notablePeak, Mount Hōken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Hōken Context triple: [Kiso Mountains, notablePeak, Mount Hōken]
-
A.
Mount Hōken
chosen
Mount Hōken is a prominent peak in Japan’s Central Alps, known for its rugged granite terrain, alpine scenery, and popular hiking and climbing routes.
-
B.
Mount Chōkai
Mount Chōkai is a prominent stratovolcano on the border of Akita and Yamagata Prefectures in northern Japan, known for its symmetrical shape and scenic alpine landscapes.
-
C.
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.
-
D.
Mount Suiro
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
-
E.
Mount Kinugasa
Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
- 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_69cebb5dbfc08190827e8e886a37a8be |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:12 p.m.