Triple

T1942527
Position Surface form Disambiguated ID Type / Status
Subject Arica E41586 entity
Predicate airportServes P4363 FINISHED
Object Arica metropolitan area 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 metropolitan area | Statement: [Arica, airportServes, Arica metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arica metropolitan area
Context triple: [Arica, airportServes, Arica metropolitan area]
  • 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. 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. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • E. Concepción
    Concepción is an active stratovolcano located on Ometepe Island in Lake Nicaragua, known for its symmetrical cone shape and frequent eruptions.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01252ec8190a14ff51151d8e69e completed March 10, 2026, 6:54 a.m.
Created at: March 4, 2026, 7:36 p.m.