Triple
T10695930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukushima Prefecture |
E252139
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Aizu |
E832396
|
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: Aizu | Statement: [Fukushima Prefecture, hasRegion, Aizu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aizu Context triple: [Fukushima Prefecture, hasRegion, Aizu]
-
A.
Aizu-Wakamatsu
Aizu-Wakamatsu is a historic castle town in Fukushima Prefecture, Japan, renowned for its samurai heritage, traditional architecture, and role in the Boshin War.
-
B.
Aizu region
chosen
The Aizu region is a historic area in western Fukushima Prefecture, Japan, known for its samurai heritage, traditional castle town of Aizuwakamatsu, and scenic mountainous landscapes.
-
C.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
-
D.
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
E.
Ōshū
Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd3af5248190ab807965255e9ad2 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ee6ff881909fb0d1590580c4e8 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 8, 2026, 9:11 p.m.