Triple
T19303499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanigawa Mountain Range |
E482761
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Omine |
—
|
NE NERFINISHED |
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: Omine | Statement: [Tanigawa Mountain Range, hasPeak, Omine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omine Context triple: [Tanigawa Mountain Range, hasPeak, Omine]
-
A.
Omine
chosen
Omine is a revered sacred mountain in Japan’s Kii Mountain Range, known as a key center of Shugendō mountain worship and an important stop on traditional pilgrimage routes.
-
B.
Yonashiro
Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
E.
Moriya
Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c5903c819090b3f89c3f33b005 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.