Triple
T12649903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senshu Park |
E302128
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Akita City |
—
|
NE NERFINISHED |
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: Akita City | Statement: [Senshu Park, locatedIn, Akita City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akita City Context triple: [Senshu Park, locatedIn, Akita City]
-
A.
Akita City
chosen
Akita City is a regional hub in northern Japan known for its port on the Sea of Japan, traditional festivals, and role as an administrative and cultural center.
-
B.
Yamagata City
Yamagata City is a regional hub in northeastern Japan known for its hot springs, surrounding mountains, and annual Hanagasa Festival.
-
C.
Aomori City
Aomori City is a northern Japanese port city known for its Nebuta Matsuri summer festival and as a transportation hub facing Mutsu Bay.
-
D.
Kōriyama
Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
-
E.
Komaki City
Komaki City is a municipality in Aichi Prefecture, Japan, known as a regional industrial and transportation hub within the Nagoya metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.