Triple
T19768138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggureung |
E474811
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Guri |
—
|
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: Guri | Statement: [Donggureung, locatedIn, Guri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guri Context triple: [Donggureung, locatedIn, Guri]
-
A.
Guri
chosen
Guri is a city in South Korea located just east of Seoul, known as a suburban residential area with historical sites and access to natural scenery.
-
B.
Nakadake
Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
-
C.
Nakadake
Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
-
D.
Oyodo
Oyodo is a district within Kita-ku in Osaka, Japan, known as a residential and commercial area near the city center.
-
E.
Kagayaki
Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65358fc3c8190867fea2a2c4e7594 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.