Triple

T19409797
Position Surface form Disambiguated ID Type / Status
Subject Gond people E485557 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Maria Gond NE NERFINISHED

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: Maria Gond | Statement: [Gond people, relatedEthnicGroup, Maria Gond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Gond
Context triple: [Gond people, relatedEthnicGroup, Maria Gond]
  • A. Maria Gond chosen
    Maria Gond are an indigenous Adivasi community of central India, traditionally inhabiting forested regions and known for their distinct culture, language, and close relationship with the natural environment.
  • B. Maria Marc
    Maria Marc was a German painter and the second wife of Expressionist artist Franz Marc, known for her own artistic work and for preserving and promoting her husband's legacy.
  • C. Caterina Ganz
    Caterina Ganz is an Italian cross-country skier who competes at the international level, representing Italy in major World Cup and championship events.
  • D. Marie Gomez
    Marie Gomez is an actress best known for her role in the 1966 Western film "The Professionals."
  • E. Maria Francesca
    Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.