Triple

T8279839
Position Surface form Disambiguated ID Type / Status
Subject Juan Fernández E193642 entity
Predicate hasNameInSpanish P12773 FINISHED
Object Juan Fernández E193642 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: Juan Fernández | Statement: [Juan Fernández, hasNameInSpanish, Juan Fernández]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Fernández
Context triple: [Juan Fernández, hasNameInSpanish, Juan Fernández]
  • A. Juan Fernández chosen
    Juan Fernández was a 16th-century Spanish navigator and explorer known for discovering and giving his name to the Juan Fernández Islands off the coast of Chile.
  • B. Isla Quellón
    Isla Quellón is an island in southern Chile known for its fishing communities and location within the culturally distinctive Chiloé Archipelago.
  • C. Magallanes
    Magallanes is a landlocked agricultural municipality in the province of Cavite in the Philippines, known for its rural character and historical roots.
  • D. Magallanes
    Magallanes is a Chilean professional football club known for its historic role in the early development of Chilean soccer.
  • E. Isla de Maipo
    Isla de Maipo is a Chilean commune and town in the Maipo Valley known for its vineyards, agriculture, and rural character within the greater Santiago area.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ece5708190a1569bcfad5b3644 completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd686d9be081908b0490e708f51ad7 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.