Triple
T20145678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitose, Hokkaido, Japan |
E491295
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object | 千歳市 |
—
|
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: 千歳市 | Statement: [Chitose, Hokkaido, Japan, hasNameInJapanese, 千歳市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 千歳市 Context triple: [Chitose, Hokkaido, Japan, hasNameInJapanese, 千歳市]
-
A.
千歳市
chosen
千歳市は、北海道石狩振興局に属し、新千歳空港を擁する交通の要衝として知られる市です。
-
B.
Hakodate
Hakodate is a historic port city on Japan’s northern island of Hokkaido, known for its scenic night views from Mount Hakodate and its blend of Japanese and Western-influenced architecture.
-
C.
Kanoya
Kanoya is a city in Kagoshima Prefecture on Japan’s Kyushu island, known as a regional center on the Ōsumi Peninsula with agricultural production and a former naval air base.
-
D.
Kushiro
Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
-
E.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.