Triple

T3974467
Position Surface form Disambiguated ID Type / Status
Subject Southern Uto-Aztecan E85606 entity
Predicate hasSubgroup P747 FINISHED
Object Opatan E388869 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: Opatan | Statement: [Southern Uto-Aztecan, hasSubgroup, Opatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opatan
Context triple: [Southern Uto-Aztecan, hasSubgroup, Opatan]
  • A. Opata chosen
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • C. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • D. Dovadola
    Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401712188190aa6144dc1d5dcab6 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.