Triple
T1224768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suita |
E26300
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Ibaraki |
E25335
|
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: Ibaraki | Statement: [Suita, hasNeighboringMunicipality, Ibaraki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibaraki Context triple: [Suita, hasNeighboringMunicipality, Ibaraki]
-
A.
Ibaraki
chosen
Ibaraki is a city in northern Osaka Prefecture, Japan, known as a residential and industrial hub within the Kansai metropolitan area.
-
B.
Saitama Prefecture
Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
-
C.
Tochigi Prefecture
Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
-
D.
Yamagata Prefecture
Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
-
E.
Tokushima Prefecture
Tokushima Prefecture is a largely rural coastal region on Japan’s Shikoku island, known for its Awa Odori dance festival and scenic mountains and rivers.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be382c4081909238c18b805352a7 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba392ad08190a66ccf58edecb722 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 1, 2026, 7:47 p.m.