Triple
T10642927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finno-Ugric peoples |
E250767
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Erzya |
E149564
|
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: Erzya | Statement: [Finno-Ugric peoples, hasMember, Erzya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erzya Context triple: [Finno-Ugric peoples, hasMember, Erzya]
-
A.
Erzya language
chosen
The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
-
B.
Udmurts
The Udmurts are a Finno-Ugric ethnic group native to the Volga-Ural region of Russia, known for their distinct Udmurt language, folklore, and traditional rural culture.
-
C.
Chuvash
Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
-
D.
Ossetian language
The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
-
E.
Yamalo-Nenets
Yamalo-Nenets is a remote, resource-rich autonomous district in northwestern Siberia, Russia, known for its vast Arctic tundra, significant natural gas reserves, and Indigenous Nenets population.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4555e48190be39c0a7698b4282 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.