Triple
T13706503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tedim Chin |
E328653
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Thadou |
E774123
|
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: Thadou | Statement: [Tedim Chin, closelyRelatedTo, Thadou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thadou Context triple: [Tedim Chin, closelyRelatedTo, Thadou]
-
A.
Thadou
chosen
Thadou is a Kuki-Chin language spoken primarily by the Thadou people in northeastern India and neighboring regions.
-
B.
Khamti
Khamti is a Tai language variety spoken primarily by the Khamti people in parts of northeastern India and northern Myanmar.
-
C.
Mangdechhu
Mangdechhu is a river in Bhutan known for flowing through ecologically rich protected areas and hosting major hydropower projects.
-
D.
Mishmi
Mishmi are an indigenous tribal community of the eastern Himalayas, primarily inhabiting the remote, mountainous regions of Arunachal Pradesh in Northeast India.
-
E.
Dhalai
Dhalai is a district in the northeastern Indian state of Tripura, known for its hilly terrain, forested landscapes, and significant indigenous population.
- 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.