Triple
T1724063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mie Prefecture |
E37456
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shima |
E304203
|
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: Shima | Statement: [Mie Prefecture, contains, Shima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shima Context triple: [Mie Prefecture, contains, Shima]
-
A.
Shima
chosen
Shima is a coastal city in central Japan known for its scenic bays, pearl cultivation, and role within the Ise-Shima tourist region.
-
B.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
C.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
-
D.
Sarushima
Sarushima is a small, uninhabited island in Tokyo Bay known for its beaches, fishing spots, and preserved military fortifications, making it a popular day-trip destination.
-
E.
Iōjima
Iōjima, more widely known as Iwo Jima, is a small volcanic island in the Pacific Ocean famous as the site of a major World War II battle between Japan and the United States.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635a5c8c8190b3fbf977a93838fd |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235106b1c8190ae6d4d02aefd69a9 |
completed | March 12, 2026, 3:37 a.m. |
Created at: March 4, 2026, 7:30 p.m.