Triple
T19182210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonashiro |
E469602
|
entity |
| Predicate | countryCapital |
P204
|
FINISHED |
| Object | Naha (prefectural capital) |
—
|
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: Naha (prefectural capital) | Statement: [Yonashiro, countryCapital, Naha (prefectural capital)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naha (prefectural capital) Context triple: [Yonashiro, countryCapital, Naha (prefectural capital)]
-
A.
Naha City
Naha City is the capital of Okinawa Prefecture in Japan, known for its rich Ryukyuan cultural heritage, historic sites, and vibrant urban center.
-
B.
City of Naha
The City of Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a historic Ryukyuan cultural center and major regional port.
-
C.
Naha
chosen
Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a major political, economic, and cultural center of the Ryukyu Islands.
-
D.
Naze City
Naze City was a former municipality in Kagoshima Prefecture, Japan, located on Amami Ōshima Island before being incorporated into the modern city of Amami.
-
E.
Nanyo City
Nanyo City is a municipality in northeastern Japan known for its hot springs, fruit production, and scenic rural landscapes.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.