Triple
T5377915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka Prefecture |
E113007
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Dazaifu |
E407269
|
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: Dazaifu | Statement: [Fukuoka Prefecture, hasCity, Dazaifu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dazaifu Context triple: [Fukuoka Prefecture, hasCity, Dazaifu]
-
A.
Dazaifu
chosen
Dazaifu is a historic city in Fukuoka Prefecture, Japan, known for its ancient government offices and the famous Dazaifu Tenmangū shrine dedicated to scholar-statesman Sugawara no Michizane.
-
B.
Kashihara
Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
-
C.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
D.
Himeji
Himeji is a historic Japanese city best known for Himeji Castle, a UNESCO World Heritage Site and one of Japan’s most iconic and well-preserved feudal castles.
-
E.
Takasaki
Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636635c481908482c3a7e7cf311b |
completed | March 27, 2026, 11 a.m. |
Created at: March 20, 2026, 2:03 p.m.