Triple
T23094359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuki-Chin group |
E575842
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Zo language |
—
|
NE NERFINISHED |
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: Zo language | Statement: [Kuki-Chin group, hasMemberLanguage, Zo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zo language Context triple: [Kuki-Chin group, hasMemberLanguage, Zo language]
-
A.
Zo language
chosen
Zo language is a Tibeto-Burman language spoken primarily by the Zo people in parts of northeastern India and Myanmar.
-
B.
Zezuru language
The Zezuru language is a major dialect of Shona spoken primarily in central and northern Zimbabwe.
-
C.
Zinna language
The Zinna language is a lesser-known Afro-Asiatic language spoken in parts of Nigeria, belonging to the Jarawan branch of the Bantu-related languages.
-
D.
Zan languages
The Zan languages are a small branch of the Kartvelian language family of the South Caucasus, comprising primarily the Mingrelian and Laz languages spoken along the Black Sea coast of Georgia and Turkey.
-
E.
Kzin language
Kzin language is the fictional tongue spoken by the feline-like alien Kzinti species in Larry Niven’s Known Space universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de2ed088190971ff08c58b15aad |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.