Triple

T9202629
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Arica E220883 entity
Predicate hasSeat P3522 FINISHED
Object Arica E41586 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: Arica | Statement: [Municipality of Arica, hasSeat, Arica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arica
Context triple: [Municipality of Arica, hasSeat, Arica]
  • A. Arica chosen
    Arica is a major port city in far northern Chile, known for its dry climate, strategic location near the Peruvian border, and role as a commercial and transportation hub on the Pacific coast.
  • B. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • C. Traiguén
    Traiguén is a town and commune in southern Chile’s Araucanía Region, known historically for agriculture and forestry within the Malleco area.
  • D. Puerto Valdivia
    Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
  • E. San Pedro de Atacama
    San Pedro de Atacama is a small Chilean town in the Andes renowned as a gateway for tourists exploring the surrounding Atacama Desert’s salt flats, geysers, and high-altitude landscapes.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd943cfb0819082231d80f0dc073b completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e32f4bcc8190902aa5e02cc051d9 completed April 4, 2026, 10:08 a.m.
Created at: March 30, 2026, 7:26 p.m.