Triple

T253483
Position Surface form Disambiguated ID Type / Status
Subject Northern Chile E5386 entity
Predicate hasCity P316 FINISHED
Object Calama E34573 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: Calama | Statement: [Northern Chile, hasCity, Calama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calama
Context triple: [Northern Chile, hasCity, Calama]
  • A. Calama chosen
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • B. 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.
  • C. Arica
    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.
  • D. Iquique
    Iquique is a coastal city in northern Chile known for its major Pacific port, free-trade zone, and proximity to the Atacama Desert.
  • E. 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.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5331b48190b3797fece8e60e20 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4dcaec0819099f5a3721d035cdd completed March 1, 2026, 5:55 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.