Triple
T6200338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuki-Chin languages |
E138612
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mro-Khimi language |
E575838
|
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: Mro-Khimi language | Statement: [Kuki-Chin languages, hasMember, Mro-Khimi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mro-Khimi language Context triple: [Kuki-Chin languages, hasMember, Mro-Khimi language]
-
A.
Kamviri language
The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
-
B.
Khumi language
chosen
The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
-
C.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
D.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
E.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062547cd48190a2715537b961262e |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d96415c8190b0c5c7f9fd19f5be |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:20 p.m.