Triple

T11327691
Position Surface form Disambiguated ID Type / Status
Subject Mari people E268263 entity
Predicate hasSubgroup P747 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 people, hasSubgroup, Northwestern Mari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northwestern Mari
Context triple: [Mari people, hasSubgroup, 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. Lake Michigan College
    Lake Michigan College is a public community college serving students in Michigan with associate degree programs, workforce training, and transfer pathways to four-year universities.
  • E. Mayo
    Mayo is a surname most prominently associated with the American medical family that co-founded the Mayo Clinic.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e52608b7348190875597513ca1a995 completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.