Triple
T14880527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akaishi Mountains |
E349988
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Mount Aino |
E763937
|
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 Aino | Statement: [Akaishi Mountains, hasPeak, Mount Aino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Aino Context triple: [Akaishi Mountains, hasPeak, Mount Aino]
-
A.
Mount Aino
chosen
Mount Aino is one of the highest and most prominent peaks in Japan’s Akaishi Mountains, renowned for its rugged alpine terrain and scenic views.
-
B.
Mount Oeta
Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
-
C.
Mount Mito
Mount Mito is a scenic mountain in western Tokyo, Japan, known for its forested hiking trails and panoramic views of the surrounding Okutama region.
-
D.
Mount Nasu
Mount Nasu is an active volcanic complex in Japan’s Tōhoku region, known for its geothermal activity, hiking trails, and scenic hot spring resorts.
-
E.
Mount Erice
Mount Erice is a prominent mountain in western Sicily, Italy, known for its medieval hilltop town of Erice and panoramic views over the surrounding coast and islands.
- 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_6a007d960bd08190b8ac366273646865 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:55 a.m.