Triple
T13533775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Alps |
E323205
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Tsubakuro |
E848527
|
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 Tsubakuro | Statement: [Northern Alps, contains, Mount Tsubakuro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tsubakuro Context triple: [Northern Alps, contains, Mount Tsubakuro]
-
A.
Mount Tsubakuro
chosen
Mount Tsubakuro is a popular alpine peak in Japan’s Northern Alps, known for its panoramic views, distinctive white granite ridges, and accessible hiking routes.
-
B.
Mount Kinugasa
Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
-
C.
Mount Tateshina
Mount Tateshina is a prominent volcanic peak in Japan’s Yatsugatake Mountains, known for its conical shape and popular hiking routes.
-
D.
Mount Kurodake
Mount Kurodake is a prominent volcanic peak in Japan’s Hokkaido region, known for its hiking trails, alpine scenery, and access via ropeway and chairlift.
-
E.
Mount Suiro
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbcad2881909fb7490311807f75 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6442d5c8190820d473073a3c4c6 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 9:44 p.m.