Triple
T13706397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakha Chin |
E328651
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Tedim Chin |
E328653
|
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: Tedim Chin | Statement: [Hakha Chin, closelyRelatedTo, Tedim Chin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedim Chin Context triple: [Hakha Chin, closelyRelatedTo, Tedim Chin]
-
A.
Tedim Chin
chosen
Tedim Chin is a Kuki-Chin language of the Tibeto-Burman family spoken primarily by the Tedim Chin people in northwestern Myanmar and neighboring regions.
-
B.
Lee-Chin
Lee-Chin is the surname of Jamaican-Canadian billionaire businessman and philanthropist Michael Lee-Chin.
-
C.
Chee-hwa
Chee-hwa is the given name of Tung Chee-hwa, the first Chief Executive of the Hong Kong Special Administrative Region after its 1997 handover to China.
-
D.
May Chin
May Chin is a Taiwanese actress best known internationally for her role in Ang Lee’s acclaimed 1993 film "The Wedding Banquet."
-
E.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
- 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_69d8076ff62081908a7bd79889edd7a0 |
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.