Triple

T4879608
Position Surface form Disambiguated ID Type / Status
Subject Río Negro Province E109291 entity
Predicate largestCity P235 FINISHED
Object San Carlos de Bariloche E23352 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: San Carlos de Bariloche | Statement: [Río Negro Province, largestCity, San Carlos de Bariloche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Carlos de Bariloche
Context triple: [Río Negro Province, largestCity, San Carlos de Bariloche]
  • A. Bariloche chosen
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • B. El Calafate
    El Calafate is a small Patagonian town in southern Argentina that serves as the main tourist gateway to the famous Perito Moreno Glacier and the surrounding Los Glaciares National Park.
  • C. San Miguel de Tucumán
    San Miguel de Tucumán is a historic city in northwest Argentina known as the birthplace of the country’s independence, where the 1816 declaration was signed.
  • D. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • E. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbf37ac819085bb758bc6406271 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7795665081909471da57b980e7bd completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:27 p.m.