Triple
T13706487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tedim Chin |
E328653
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Tonzang |
E797243
|
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: Tonzang | Statement: [Tedim Chin, hasDialect, Tonzang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonzang Context triple: [Tedim Chin, hasDialect, Tonzang]
-
A.
Tonzang
chosen
Tonzang is a small, remote town in northwestern Myanmar known for its mountainous terrain and predominantly Chin ethnic population.
-
B.
Tsaangi
Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
-
C.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
D.
Sizong
Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
-
E.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.