Triple

T13628358
Position Surface form Disambiguated ID Type / Status
Subject Oaxaca (state) E325645 entity
Predicate hasRegion P285 FINISHED
Object Sierra Mazateca E1030198 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 Mazateca | Statement: [Oaxaca (state), hasRegion, Sierra Mazateca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Mazateca
Context triple: [Oaxaca (state), hasRegion, Sierra Mazateca]
  • A. Sierra Mazateca chosen
    Sierra Mazateca is a mountainous region in northern Oaxaca, Mexico, known for its indigenous Mazatec communities, cloud forests, and traditional use of psychoactive mushrooms in spiritual practices.
  • B. Sierra Madre de Oaxaca
    Sierra Madre de Oaxaca is a major mountain range in southern Mexico known for its rugged terrain, high biodiversity, and numerous indigenous communities.
  • C. Sierra Totonac
    Sierra Totonac is a variant of the Totonac indigenous language spoken in the mountainous regions of eastern Mexico.
  • D. Sierra de Tenango
    Sierra de Tenango is a mountainous region in the state of Hidalgo, Mexico, known for its rugged terrain, cloud forests, and indigenous communities.
  • E. Sierra de Tapalpa
    Sierra de Tapalpa is a mountainous region in western Mexico known for its pine forests, scenic landscapes, and outdoor recreation near the town of Tapalpa in Jalisco.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc315ff848190a6c8cbd5b90db7fc completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 9:51 p.m.