Triple
T10064897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaoshan dialect |
E213075
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Chaoshan region |
E213074
|
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: Chaoshan region | Statement: [Chaoshan dialect, spokenIn, Chaoshan region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaoshan region Context triple: [Chaoshan dialect, spokenIn, Chaoshan region]
-
A.
Chaoshan region
chosen
The Chaoshan region is an area in eastern Guangdong, China, known for its distinct Teochew culture, language, and cuisine.
-
B.
Chaoshan
Chaoshan is a culturally distinct region in eastern Guangdong, China, known for its Teochew-speaking population, rich culinary traditions, and influential diaspora communities.
-
C.
Cibao region
The Cibao region is a culturally rich and economically important area in the northern Dominican Republic, known for its fertile valleys, vibrant cities, and strong baseball tradition.
-
D.
Siwai region
The Siwai region is the traditional homeland of the Siwai people in southern Bougainville, Papua New Guinea, known for its distinct language, social organization, and cultural practices.
-
E.
Huangsha area
The Huangsha area is a commercial and transportation hub in Guangzhou, China, known for its markets, riverfront location, and connectivity via the metro system.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd653748190aeddf7a679028604 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a84c3308190ba9286053c1017dc |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.