Triple

T90212
Position Surface form Disambiguated ID Type / Status
Subject Atacama Desert E1812 entity
Predicate hasNearbyCity P350 FINISHED
Object Iquique
Iquique is a coastal city in northern Chile known for its major Pacific port, free-trade zone, and proximity to the Atacama Desert.
 E35014 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: Iquique | Statement: [Atacama Desert, hasNearbyCity, Iquique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iquique
Context triple: [Atacama Desert, hasNearbyCity, Iquique]
  • A. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • B. Antofagasta
    Antofagasta is a major port city in northern Chile, known for its mining industry and location on the Pacific coast at the edge of the Atacama Desert.
  • C. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • D. Puerto Montt
    Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
  • E. Las Campanas, Chile
    Las Campanas, Chile is a high-altitude astronomical observatory site in the Chilean Andes renowned for its exceptionally clear, dark skies used by major research telescopes.
  • 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: Iquique
Triple: [Atacama Desert, hasNearbyCity, Iquique]
Generated description
Iquique is a coastal city in northern Chile known for its major Pacific port, free-trade zone, and proximity to the Atacama Desert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iquique
Target entity description: Iquique is a coastal city in northern Chile known for its major Pacific port, free-trade zone, and proximity to the Atacama Desert.
  • A. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • B. Antofagasta
    Antofagasta is a major port city in northern Chile, known for its mining industry and location on the Pacific coast at the edge of the Atacama Desert.
  • C. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • D. Puerto Montt
    Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
  • E. Las Campanas, Chile
    Las Campanas, Chile is a high-altitude astronomical observatory site in the Chilean Andes renowned for its exceptionally clear, dark skies used by major research telescopes.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8959dc8190b6ec8ef2583505a1 completed March 1, 2026, 12:42 a.m.
NEDg Description generation batch_69a38c55a1d48190a5932267dc49dc85 completed March 1, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69a38cba99c4819086cec3eb4c72c057 completed March 1, 2026, 12:47 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.