Triple

T3539240
Position Surface form Disambiguated ID Type / Status
Subject Kiliwa community of northern Baja California E74841 entity
Predicate traditionalTerritory P1103 FINISHED
Object Sierra de San Pedro Mártir region
The Sierra de San Pedro Mártir region is a mountainous area in northern Baja California, Mexico, known for its high-elevation pine forests, observatory, and significance as part of the traditional homeland of Indigenous communities such as the Kiliwa.
E366769 NE FINISHED

How this triple was built (4 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 Pedro Mártir region | Statement: [Kiliwa community of northern Baja California, traditionalTerritory, Sierra de San Pedro Mártir region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra de San Pedro Mártir region
Context triple: [Kiliwa community of northern Baja California, traditionalTerritory, Sierra de San Pedro Mártir region]
  • A. Sierra Madre de Oaxaca region
    The Sierra Madre de Oaxaca region is a mountainous area in southern Mexico known for its rugged terrain, rich biodiversity, and numerous indigenous communities.
  • B. Sierra Gorda
    Sierra Gorda is a small mining town and commune in northern Chile’s Antofagasta Region, known for its copper mining activities in the Atacama Desert.
  • C. Pico de Orizaba region
    The Pico de Orizaba region is a mountainous area in eastern Mexico dominated by the country’s highest volcano, known for its alpine landscapes, glaciers, and surrounding highland communities.
  • D. La Huasteca Hidalguense
    La Huasteca Hidalguense is a culturally rich and biodiverse region in the state of Hidalgo, Mexico, known for its Huastec indigenous heritage, traditional music and dance, and lush tropical landscapes.
  • E. Sierra Norte de Oaxaca
    Sierra Norte de Oaxaca is a biodiverse, heavily forested mountain range in the Mexican state of Oaxaca, known for its indigenous communities, cloud forests, and ecotourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sierra de San Pedro Mártir region
Triple: [Kiliwa community of northern Baja California, traditionalTerritory, Sierra de San Pedro Mártir region]
Generated description
The Sierra de San Pedro Mártir region is a mountainous area in northern Baja California, Mexico, known for its high-elevation pine forests, observatory, and significance as part of the traditional homeland of Indigenous communities such as the Kiliwa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sierra de San Pedro Mártir region
Target entity description: The Sierra de San Pedro Mártir region is a mountainous area in northern Baja California, Mexico, known for its high-elevation pine forests, observatory, and significance as part of the traditional homeland of Indigenous communities such as the Kiliwa.
  • A. Sierra Madre de Oaxaca region
    The Sierra Madre de Oaxaca region is a mountainous area in southern Mexico known for its rugged terrain, rich biodiversity, and numerous indigenous communities.
  • B. Sierra Gorda
    Sierra Gorda is a small mining town and commune in northern Chile’s Antofagasta Region, known for its copper mining activities in the Atacama Desert.
  • C. Pico de Orizaba region
    The Pico de Orizaba region is a mountainous area in eastern Mexico dominated by the country’s highest volcano, known for its alpine landscapes, glaciers, and surrounding highland communities.
  • D. La Huasteca Hidalguense
    La Huasteca Hidalguense is a culturally rich and biodiverse region in the state of Hidalgo, Mexico, known for its Huastec indigenous heritage, traditional music and dance, and lush tropical landscapes.
  • E. Sierra Norte de Oaxaca
    Sierra Norte de Oaxaca is a biodiverse, heavily forested mountain range in the Mexican state of Oaxaca, known for its indigenous communities, cloud forests, and ecotourism.
  • F. None of above. chosen

Provenance (5 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd7fa3881909fee11cc6f4af7ea completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c9259f881908068961f4eaf11a0 completed March 13, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69b38d04eb388190af64f990bac8d140 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.