Triple
T4214745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsukuba |
E94187
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Tsukuba |
E300701
|
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 Tsukuba | Statement: [Tsukuba, near, Mount Tsukuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tsukuba Context triple: [Tsukuba, near, Mount Tsukuba]
-
A.
Mount Tsukuba
chosen
Mount Tsukuba is a famous double-peaked mountain in Japan known for its scenic views, religious significance, and popular hiking trails.
-
B.
Mount Katsuragi
Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
-
C.
Mount Ōminakami
Mount Ōminakami is a mountain in Japan known primarily as the headwaters area of the Tone River, one of the country’s major river systems.
-
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 Hachiman
Mount Hachiman is a scenic hill in Ōmihachiman, Shiga Prefecture, known for its historical significance, hiking trails, and panoramic views over the city and Lake Biwa.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34be8ba408190baee362e5abbe75b |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d05b964881908d7d52b70cec2dcc |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:04 p.m.