Triple

T20462832
Position Surface form Disambiguated ID Type / Status
Subject San Francisco de la Sierra E501969 entity
Predicate locatedIn P40 FINISHED
Object Sierra de San Francisco region — NE NERFINISHED

How this triple was built (3 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 de San Francisco region | Statement: [San Francisco de la Sierra, locatedIn, Sierra de San Francisco region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sierra de San Francisco region
Context triple: [San Francisco de la Sierra, locatedIn, Sierra de San Francisco region]
  • A. San Francisco Peaks region
    The San Francisco Peaks region is a mountainous area in northern Arizona that served as a central homeland and cultural landscape for the ancient Sinagua people.
  • B. Cañada Region
    Cañada Region is a geographic and cultural area within the Mexican state of Oaxaca, known for its semi-arid climate, indigenous communities, and traditional agriculture.
  • C. Sierra Hidalgo region
    The Sierra Hidalgo region is a mountainous area in the state of Hidalgo, Mexico, known for its mining history, cool climate, and forested landscapes.
  • D. Sierra del Nayar region
    The Sierra del Nayar region is a mountainous area in the Mexican state of Nayarit known for its rugged terrain, indigenous communities, and rich cultural traditions.
  • E. Sierra Madre Mountains region
    The Sierra Madre Mountains region is a vast, rugged mountain range in Luzon, Philippines, known for its rich biodiversity, dense forests, and role as a critical watershed and natural barrier against Pacific typhoons.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sierra de San Francisco region
Target entity description: The Sierra de San Francisco region is a remote mountainous area in Baja California Sur, Mexico, renowned for its dramatic desert canyons and UNESCO-listed prehistoric rock art sites.
  • A. San Francisco Peaks region
    The San Francisco Peaks region is a mountainous area in northern Arizona that served as a central homeland and cultural landscape for the ancient Sinagua people.
  • B. Cañada Region
    Cañada Region is a geographic and cultural area within the Mexican state of Oaxaca, known for its semi-arid climate, indigenous communities, and traditional agriculture.
  • C. Sierra Hidalgo region
    The Sierra Hidalgo region is a mountainous area in the state of Hidalgo, Mexico, known for its mining history, cool climate, and forested landscapes.
  • D. Sierra del Nayar region
    The Sierra del Nayar region is a mountainous area in the Mexican state of Nayarit known for its rugged terrain, indigenous communities, and rich cultural traditions.
  • E. Sierra Madre Mountains region
    The Sierra Madre Mountains region is a vast, rugged mountain range in Luzon, Philippines, known for its rich biodiversity, dense forests, and role as a critical watershed and natural barrier against Pacific typhoons.
  • F. None of above. chosen

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.