Triple
T14010542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nupoid |
E337065
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Dibo language |
E1073882
|
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: Dibo language | Statement: [Nupoid, hasMember, Dibo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dibo language Context triple: [Nupoid, hasMember, Dibo language]
-
A.
Dibo language
chosen
The Dibo language is a Nupoid language spoken by the Dibo people of central Nigeria.
-
B.
Datooga language
The Datooga language is a Southern Nilotic language spoken by the Datooga people of north-central Tanzania, known for its complex dialect diversity and rich oral tradition.
-
C.
Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
-
D.
Shekkacho language
The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
-
E.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb653fedc81908cdd0dde2d3f3329 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.