Triple

T7267923
Position Surface form Disambiguated ID Type / Status
Subject Chile river system E161024 entity
Predicate hasRegion P285 FINISHED
Object Norte Grande
Norte Grande is the arid, mineral-rich northern macroregion of Chile that encompasses much of the Atacama Desert and key mining areas.
 E652893 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: Norte Grande | Statement: [Chile river system, hasRegion, Norte Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norte Grande
Context triple: [Chile river system, hasRegion, Norte Grande]
  • A. Costa Alegre
    Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
  • B. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • C. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • D. La Norte
    La Norte is a passionate supporters’ group known for creating a lively, vocal atmosphere at D.C. United soccer matches.
  • E. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • 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: Norte Grande
Triple: [Chile river system, hasRegion, Norte Grande]
Generated description
Norte Grande is the arid, mineral-rich northern macroregion of Chile that encompasses much of the Atacama Desert and key mining areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norte Grande
Target entity description: Norte Grande is the arid, mineral-rich northern macroregion of Chile that encompasses much of the Atacama Desert and key mining areas.
  • A. Costa Alegre
    Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
  • B. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • C. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • D. La Norte
    La Norte is a passionate supporters’ group known for creating a lively, vocal atmosphere at D.C. United soccer matches.
  • E. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae7b2108190a6910f6655669db5 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1e4f9c8190a23ce5a35073b7c7 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbd350a08190aa34ada9ba8d39ce completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:58 p.m.