Triple

T45654
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Boric E894 entity
Predicate education P5 FINISHED
Object University of Chile E6045 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: University of Chile | Statement: [Gabriel Boric, education, University of Chile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Chile
Context triple: [Gabriel Boric, education, University of Chile]
  • A. University of Chile chosen
    The University of Chile is a leading public research university in Santiago and one of the oldest and most prestigious higher education institutions in Chile and Latin America.
  • B. University of La Serena
    The University of La Serena is a public Chilean higher education institution located in the city of La Serena, known for its academic programs and research in science, engineering, and the humanities.
  • C. University of Havana
    The University of Havana is Cuba’s oldest and most prestigious higher education institution, renowned for its historic campus and central role in the country’s intellectual and political life.
  • D. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • E. University of Tokyo
    The University of Tokyo is Japan’s most prestigious and oldest national research university, renowned for its leading role in higher education, science, and public policy in Japan and worldwide.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af153b08190b0875b86d591d473 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623cc3648190b2d86352406125e9 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.