Triple

T6696329
Position Surface form Disambiguated ID Type / Status
Subject Mari language E152759 entity
Predicate hasDialect P4251 FINISHED
Object Hill Mari E250768 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: Hill Mari | Statement: [Mari language, hasDialect, Hill Mari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill Mari
Context triple: [Mari language, hasDialect, Hill Mari]
  • A. Hill Mari chosen
    Hill Mari is a Uralic (Finno-Ugric) language spoken by the Hill Mari people, primarily in the Mari El Republic of Russia.
  • B. Tymberlee Hill
    Tymberlee Hill is an American actress and comedian known for her work in television comedies and ensemble casts.
  • C. Przemysł Hill
    Przemysł Hill is a historic elevation in the center of Poznań, Poland, known primarily as the site of the city’s medieval royal castle and a key landmark in its old town.
  • D. Emma Hill
    Emma Hill is a central figure portrayed in Ford Madox Brown’s painting "The Last of England," serving as the model for the emigrant wife in this iconic Victorian artwork.
  • E. Ruby Hill
    Ruby Hill was an American singer and actress known for her performances in mid-20th-century musical theatre and popular songs.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b197ccb48190a540feecb2d9c70b completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.