Triple
T7640942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terang |
E173002
|
entity |
| Predicate | hasLanguageContext |
P8383
|
FINISHED |
| Object | Karbi language |
E141283
|
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: Karbi language | Statement: [Terang, hasLanguageContext, Karbi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karbi language Context triple: [Terang, hasLanguageContext, Karbi language]
-
A.
Karbi language
chosen
The Karbi language is a Tibeto-Burman language spoken primarily by the Karbi people in Northeast India, especially in Assam.
-
B.
Nyishi language
The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
-
C.
Kharia language
Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
-
D.
Bagirmi language
The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
-
E.
Cabiyari language
The Cabiyari language is an indigenous Arawakan language spoken by the Cabiyari people of the northwestern Amazon region.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facd9dec8190ab3af9cdde9992e6 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ac251308190a09814cc469d80fd |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:57 p.m.