Triple
T9930070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amami Ōshima |
E192624
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Setouchi |
E403120
|
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: Setouchi | Statement: [Amami Ōshima, hasTown, Setouchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setouchi Context triple: [Amami Ōshima, hasTown, Setouchi]
-
A.
Setouchi
chosen
Setouchi is a coastal town on Japan’s Amami Ōshima known for its subtropical climate, scenic bays, and traditional island culture.
-
B.
Setouchi region
The Setouchi region is a coastal area of western Japan surrounding the Seto Inland Sea, known for its mild climate, island-dotted seascapes, and contemporary art sites.
-
C.
Ise-Shima region
The Ise-Shima region is a coastal area in Mie Prefecture, Japan, famed for its historic Ise Grand Shrine, rugged ria coastline, and traditional pearl cultivation.
-
D.
Kyushu
Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
-
E.
Sanuki
Sanuki is a city in Kagawa Prefecture on Japan’s Shikoku island, known for its coastal scenery and association with Sanuki-style udon noodles.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b4196881909a004091a4203c45 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb6276ec8190ad8623129f804c91 |
completed | April 5, 2026, 8:51 p.m. |
Created at: March 30, 2026, 8:43 p.m.