Triple
T15655359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadow Mari language |
E376424
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Olyk Mari
Olyk Mari is a standard literary variety of the Mari language spoken by the Meadow Mari people in Russia.
|
E1169148
|
NE FINISHED |
How this triple was built (4 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: Olyk Mari | Statement: [Meadow Mari language, hasAlternativeName, Olyk Mari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olyk Mari Context triple: [Meadow Mari language, hasAlternativeName, Olyk Mari]
-
A.
Marit
Marit is a feminine given name commonly used in Scandinavian countries, particularly Norway and Sweden.
-
B.
Orlyk
Orlyk is a Ukrainian surname most notably associated with Pylyp Orlyk, an 18th-century Cossack leader and author of one of Europe’s earliest constitutional documents.
-
C.
Skreia
Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
-
D.
Gunnel
Gunnel is a Scandinavian feminine given name, particularly common in Sweden.
-
E.
Inga of Varteig
Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Olyk Mari Triple: [Meadow Mari language, hasAlternativeName, Olyk Mari]
Generated description
Olyk Mari is a standard literary variety of the Mari language spoken by the Meadow Mari people in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olyk Mari Target entity description: Olyk Mari is a standard literary variety of the Mari language spoken by the Meadow Mari people in Russia.
-
A.
Marit
Marit is a feminine given name commonly used in Scandinavian countries, particularly Norway and Sweden.
-
B.
Orlyk
Orlyk is a Ukrainian surname most notably associated with Pylyp Orlyk, an 18th-century Cossack leader and author of one of Europe’s earliest constitutional documents.
-
C.
Skreia
Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
-
D.
Gunnel
Gunnel is a Scandinavian feminine given name, particularly common in Sweden.
-
E.
Inga of Varteig
Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
- F. None of above. chosen
Provenance (5 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67994fbc819090f2da267888e8fb |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff6810af4c8190aa6cae98a1b8b5ce |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 4:15 a.m.