Triple
T7217162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzya language |
E149564
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Moksha language |
E149565
|
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: Moksha language | Statement: [Erzya language, closelyRelatedTo, Moksha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moksha language Context triple: [Erzya language, closelyRelatedTo, Moksha language]
-
A.
Moksha language
chosen
The Moksha language is a Uralic language spoken primarily by the Moksha people in central Russia, noted for its complex grammar and close relation to the Erzya language.
-
B.
Momo languages
Momo languages are a small subgroup of Bantoid languages spoken in western Cameroon, closely related to other Grassfields languages.
-
C.
Moxo language
The Moxo language is an indigenous Arawakan language spoken by the Moxo (Mojo) people of Bolivia’s lowland regions.
-
D.
Moghamo language
The Moghamo language is a Bantu-related Grassfields language spoken by the Moghamo people in the Northwest Region of Cameroon.
-
E.
Moru language
The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbfb46388190992cc98039e71748 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:53 p.m.