Triple

T1609021
Position Surface form Disambiguated ID Type / Status
Subject Calama E34573 entity
Predicate isPartOf P10 FINISHED
Object El Loa Province E124414 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: El Loa Province | Statement: [Calama, isPartOf, El Loa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Loa Province
Context triple: [Calama, isPartOf, El Loa Province]
  • A. El Loa Province chosen
    El Loa Province is an administrative division in Chile’s Antofagasta Region, known for encompassing parts of the Atacama Desert and key towns such as Calama and San Pedro de Atacama.
  • B. Oyón Province
    Oyón Province is an administrative subdivision in the northern highlands of Peru’s Lima Region, known for its Andean landscapes and mining activities.
  • C. Alto Guavio Province
    Alto Guavio Province is an administrative subdivision of Colombia’s Cundinamarca Department, known for its mountainous terrain, reservoirs, and proximity to Bogotá.
  • D. Cautín Province
    Cautín Province is an administrative division in southern Chile’s Araucanía Region, known for its capital city Temuco and its significant Mapuche cultural presence.
  • E. Cajatambo Province
    Cajatambo Province is an administrative subdivision in the highland area of Peru’s Lima Region, known for its Andean landscapes and rural communities.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096e45408190b99e51df5b4a1cee completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3ffc4081909197690046d8ff22 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:28 p.m.