Triple
T10642890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mari language |
E250766
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Northwestern Mari |
E612651
|
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: Northwestern Mari | Statement: [Mari language, hasDialect, Northwestern Mari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northwestern Mari Context triple: [Mari language, hasDialect, Northwestern Mari]
-
A.
Northwestern Mari
chosen
Northwestern Mari is a regional dialect of the Uralic Mari language spoken by the Mari people in parts of Russia.
-
B.
Marquette
Marquette is a French surname most notably associated with the 17th-century Jesuit missionary and explorer Jacques Marquette, after whom various places and institutions in North America are named.
-
C.
Marquette
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
-
D.
Mayo
Mayo is a surname most prominently associated with the American medical family that co-founded the Mayo Clinic.
-
E.
Mayo
Mayo is a parliamentary constituency represented in Dáil Éireann, the lower house of the Irish parliament, covering most of County Mayo in western Ireland.
- 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.