Triple
T21519006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niibo |
E530922
|
entity |
| Predicate | nowPartOf |
P35
|
FINISHED |
| Object | Sado, Niigata |
—
|
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: Sado, Niigata | Statement: [Niibo, nowPartOf, Sado, Niigata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sado, Niigata Context triple: [Niibo, nowPartOf, Sado, Niigata]
-
A.
Sado, Niigata
chosen
Sado, Niigata is a large island and former city in the Sea of Japan off Niigata Prefecture, known for its historic gold mines, rich cultural traditions, and scenic coastal landscapes.
-
B.
Tsunan, Niigata
Tsunan, Niigata is a mountainous town in Japan’s Niigata Prefecture known for its heavy snowfall, scenic highland landscapes, and outdoor activities such as skiing and hiking.
-
C.
Tokamachi, Niigata
Tokamachi, Niigata is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional Echigo-jofu textiles, and scenic rural landscapes.
-
D.
Yoshida, Niigata
Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
-
E.
Yonezawa
Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884af0f08190bc1f3d70e57a325d |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:25 p.m.