Triple
T15754494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oita HeatDevils |
E381932
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Ōita |
—
|
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: Ōita | Statement: [Oita HeatDevils, location, Ōita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōita Context triple: [Oita HeatDevils, location, Ōita]
-
A.
Oita
chosen
Ōita is a coastal city on Japan’s Kyushu island known for its hot springs, regional cuisine, and role as the capital of Ōita Prefecture.
-
B.
Ōita Prefecture
Ōita Prefecture is a coastal region on Japan’s Kyushu island known for its numerous hot spring resorts, particularly in Beppu and Yufuin.
-
C.
Yamaguchi
Yamaguchi is a common Japanese surname associated with numerous individuals, places, and institutions throughout Japan.
-
D.
Kumamoto
Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
-
E.
Wakayama
Wakayama is a coastal city in Japan’s Kansai region known for its historic Wakayama Castle, scenic seaside landscapes, and role as a gateway to the Kii Peninsula.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
Created at: April 10, 2026, 4:47 a.m.