Triple
T9182853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga Prefecture |
E220376
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Arita |
E325675
|
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: Arita | Statement: [Saga Prefecture, contains, Arita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arita Context triple: [Saga Prefecture, contains, Arita]
-
A.
Arita
chosen
Arita is a historic town in Saga Prefecture, Japan, renowned as one of the birthplaces of Japanese porcelain and a major center of traditional ceramics production.
-
B.
Tanabe
Tanabe is a coastal city in Japan known as a gateway to the Kumano Kodo pilgrimage routes and for its scenic natural landscapes.
-
C.
Ashiya
Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
-
D.
Yawata
Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
-
E.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc2553e548190898434aeda517407 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c1474a08190aa3e3e90326a20d1 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:23 p.m.