Triple
T14596810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biliran Province |
E342589
|
entity |
| Predicate | hasVolcano |
P6356
|
FINISHED |
| Object | Mount Suiro |
E342590
|
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 Suiro | Statement: [Biliran Province, hasVolcano, Mount Suiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Suiro Context triple: [Biliran Province, hasVolcano, Mount Suiro]
-
A.
Mount Suiro
chosen
Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
-
B.
Mount Tsurugi
Mount Tsurugi is a prominent peak on Japan’s Shikoku Island, renowned for its scenic alpine landscapes, hiking trails, and cultural significance in Japanese mountain worship.
-
C.
Mount Sankaku
Mount Sankaku is a small, popular hiking and viewpoint mountain located in Nishi-ku, Sapporo, Japan.
-
D.
Mount Tsubakuro
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.
-
E.
Mount Tairyu
Mount Tairyu is a mountain in Tokushima Prefecture, Japan, best known as the site of Tairyuji, the 21st temple on the Shikoku Pilgrimage.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 1:25 a.m.