Triple
T20763649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ishizuchi area |
E511035
|
entity |
| Predicate | hasAccessTown |
P22318
|
FINISHED |
| Object | Saijo, Ehime |
—
|
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: Saijo, Ehime | Statement: [Mount Ishizuchi area, hasAccessTown, Saijo, Ehime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saijo, Ehime Context triple: [Mount Ishizuchi area, hasAccessTown, Saijo, Ehime]
-
A.
Saijo, Ehime Prefecture
chosen
Saijo is a coastal city in Ehime Prefecture, Japan, known as an industrial and port hub on Shikoku Island.
-
B.
Ōzu, Ehime
Ōzu, Ehime is a historic castle town in Ehime Prefecture, Japan, known for its preserved traditional streetscapes and the reconstructed Ōzu Castle along the Hiji River.
-
C.
Tōon, Ehime
Tōon is a city in Ehime Prefecture on Japan’s Shikoku Island, known for its rural landscapes, hot springs, and role as a stop along the Shikoku Pilgrimage route.
-
D.
Mitoyo, Kagawa
Mitoyo, Kagawa is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its rural landscapes, historic temples, and views of the Seto Inland Sea.
-
E.
Shimanto, Kōchi
Shimanto, Kōchi is a town in Kōchi Prefecture, Japan, known for its scenic location along the clear Shimanto River and its rural, nature-rich environment.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24b18b8819082e61104be6f83a3 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.