Triple
T8949433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoronjima |
E213306
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Yoron Town |
E768308
|
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: Yoron Town | Statement: [Yoronjima, hasSettlement, Yoron Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoron Town Context triple: [Yoronjima, hasSettlement, Yoron Town]
-
A.
Yoron Town
chosen
Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
-
B.
Wakuya Town
Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
-
C.
Watari Town
Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
-
D.
Yamamoto Town
Yamamoto Town is a coastal municipality in northeastern Japan known for agriculture and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
-
E.
Misato Town
Misato Town is a rural municipality in northeastern Japan known for its agricultural landscape and location within Miyagi Prefecture.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93c678c81909d2ab68308d7c2f0 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:59 p.m.