Triple
T10170890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiamen dialect |
E235327
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Medan Hokkien |
E228712
|
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: Medan Hokkien | Statement: [Xiamen dialect, influenced, Medan Hokkien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medan Hokkien Context triple: [Xiamen dialect, influenced, Medan Hokkien]
-
A.
Medan Hokkien
chosen
Medan Hokkien is a regional variety of the Hokkien Chinese language spoken primarily by Chinese communities in and around Medan, North Sumatra, Indonesia.
-
B.
Hokkien
Hokkien is a Southern Min Chinese language variety widely spoken in Taiwan, Southeast Asia, and parts of southern China, known for its rich tonal system and distinct vocabulary from Mandarin.
-
C.
Nanyang
Nanyang is a major prefecture-level city in southwestern Henan Province, China, known for its long history, cultural heritage, and role as a regional economic and transportation hub.
-
D.
Caizhou
Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
-
E.
Danzhou
Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9d36608190be78665cc3410cf2 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3177ddab48190988c280faf406383 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:10 p.m.