Triple
T21326775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lendu people |
E525778
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Lendu 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: Lendu language | Statement: [Lendu people, language, Lendu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lendu language Context triple: [Lendu people, language, Lendu language]
-
A.
Lendu language
chosen
The Lendu language is a Central Sudanic language spoken primarily by the Lendu people in northeastern Democratic Republic of the Congo.
-
B.
Lengo language
The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
-
C.
Ngada language
The Ngada language is an Austronesian language spoken by the Ngada people in central Flores, Indonesia, known for its complex verbal morphology and rich oral tradition.
-
D.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
E.
Tindi language
The Tindi language is a Northeast Caucasian language spoken by the Tindi people in Dagestan, Russia, known for its complex grammar and limited number of speakers.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4a796081908148ec9106362d3d |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.