Triple
T10463971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese South Pacific Mandate |
E246743
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Nan'yō Chō |
E645694
|
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: Nan'yō Chō | Statement: [Japanese South Pacific Mandate, officialName, Nan'yō Chō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan'yō Chō Context triple: [Japanese South Pacific Mandate, officialName, Nan'yō Chō]
-
A.
Nan’yō Chō
chosen
Nan’yō Chō was the Japanese colonial administration that governed the South Seas Mandate islands in the Pacific during the early 20th century.
-
B.
Nanbu
Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
-
C.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
-
D.
ミナミ
ミナミは大阪市中央部に位置し、なんばを中心とした繁華街やショッピングエリアとして知られる大阪有数の観光・商業エリアである。
-
E.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50885e220819089e455b646f31e65 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fd865688190b0b5708481f397f4 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.