Triple

T14007857
Position Surface form Disambiguated ID Type / Status
Subject Insular Chile E336996 entity
Predicate containsMunicipality P852 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: [Insular Chile, containsMunicipality, Juan Fernández]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Fernández
Context triple: [Insular Chile, containsMunicipality, 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. Magallanes
    Magallanes is a coastal municipality in the province of Agusan del Norte in the Caraga region of Mindanao, Philippines.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc329891c8190b4dcb9913e235a1c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.