Triple
T20200268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarulal |
E493195
|
entity |
| Predicate | languageOfUse |
P237
|
FINISHED |
| Object | Avar 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: Avar language | Statement: [Maarulal, languageOfUse, Avar language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avar language Context triple: [Maarulal, languageOfUse, Avar language]
-
A.
Avar language
chosen
Avar language is a Northeast Caucasian language spoken primarily in Dagestan, Russia, and parts of neighboring countries by the Avar people.
-
B.
Avar-Andic languages
The Avar-Andic languages are a branch of the Northeast Caucasian language family spoken primarily in Dagestan and neighboring regions of the eastern Caucasus.
-
C.
Oirat language
Oirat language is a Mongolic language spoken primarily by the Oirat people in western Mongolia, China, and Russia, known for its historical use of the Clear Script.
-
D.
Evenki language
The Evenki language is a Northern Tungusic language spoken by the Evenki people across Siberia, northeastern China, and Mongolia.
-
E.
Havu language
The Havu language is a Bantu language spoken primarily by the Havu people in the eastern Democratic Republic of the Congo, particularly around Lake Kivu.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8d01648190b1b3a6e03f0258d8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.