Triple

T6330773
Position Surface form Disambiguated ID Type / Status
Subject Otomi E141974 entity
Predicate hasDialects P4251 FINISHED
Object Sierra Otomi E383572 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: Sierra Otomi | Statement: [Otomi, hasDialects, Sierra Otomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Otomi
Context triple: [Otomi, hasDialects, Sierra Otomi]
  • A. Sierra Pinta
    Sierra Pinta is a remote desert mountain range in southwestern Arizona known for its rugged terrain and wildlife habitat within the Sonoran Desert.
  • B. Sierra Totonac chosen
    Sierra Totonac is a variant of the Totonac indigenous language spoken in the mountainous regions of eastern Mexico.
  • C. Sierra Grande
    Sierra Grande is a small mining town in southern Argentina known for its iron ore deposits and location near the Atlantic coast in Río Negro Province.
  • D. Sierra del Nayar
    Sierra del Nayar is a mountainous region in western Mexico known as a traditional homeland of the Cora people and a center of their indigenous culture.
  • E. San Emigdio Mountain
    San Emigdio Mountain is a prominent peak in Southern California’s Transverse Ranges, known for its rugged terrain and location near the southern end of the San Joaquin Valley.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041aac948190ad7dd4d5683903ed completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.