Triple
T4283349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quanzhou |
E97206
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Southern Min |
E209343
|
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: Southern Min | Statement: [Quanzhou, language, Southern Min]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Min Context triple: [Quanzhou, language, Southern Min]
-
A.
Southern Min
chosen
Southern Min is a major branch of the Sinitic language family spoken primarily in southeastern China and among overseas Chinese communities, encompassing varieties such as Hokkien, Taiwanese, and Teochew.
-
B.
Southern Mam
Southern Mam is a regional variety of the Mam Mayan language spoken primarily in parts of Guatemala.
-
C.
Inland South
The Inland South is a cultural and geographic subregion of the Southern United States characterized by its inland location away from the coasts, a mix of Appalachian and Deep South influences, and a predominantly rural, agrarian heritage.
-
D.
Mid-South
Mid-South is a cultural and economic region of the south-central United States centered around Memphis and encompassing parts of Tennessee, Mississippi, Arkansas, and nearby areas.
-
E.
Southeastern
Southeastern is a British train operating company that runs passenger rail services across southeast London and the counties of Kent and East Sussex.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bec1a88190bd36ed6d48e1c94e |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.