Triple
T3941077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amoy, Fujian, Qing dynasty |
E92033
|
entity |
| Predicate | usedLanguage |
P741
|
FINISHED |
| Object | Hokkien |
E34449
|
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: Hokkien | Statement: [Amoy, Fujian, Qing dynasty, usedLanguage, Hokkien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hokkien Context triple: [Amoy, Fujian, Qing dynasty, usedLanguage, Hokkien]
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
Hakka
chosen
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
-
C.
Hanko
Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
-
D.
Chitose
Chitose was a Japanese warship of the Imperial Japanese Navy, originally built as a seaplane tender and later converted into a light aircraft carrier that was sunk in World War II.
-
E.
Chitose
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfdffc48190a93ecb6115b2db33 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533912bf881909e5e5e9e4245edbf |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.