Triple

T18330786
Position Surface form Disambiguated ID Type / Status
Subject Melquíades E439133 entity
Predicate diesIn P21 FINISHED
Object Macondo NE NERFINISHED

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: Macondo | Statement: [Melquíades, diesIn, Macondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macondo
Context triple: [Melquíades, diesIn, Macondo]
  • A. Macondo chosen
    Macondo is the fictional, magical-realist town created by Gabriel García Márquez, most famously serving as the setting of his novel "One Hundred Years of Solitude."
  • B. Maynas
    Maynas was a historical region and indigenous group in the Amazon Basin, whose name was later used for the Maynas Province in Peru.
  • C. Aracataca
    Aracataca is a town in northern Colombia best known as the birthplace of Nobel laureate Gabriel García Márquez and the real-life inspiration for the fictional village of Macondo in his novel "One Hundred Years of Solitude."
  • D. Mochó
    Mochó is an indigenous Mayan language spoken by a small community in Chiapas, Mexico, and considered highly endangered.
  • E. Malita
    Malita is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Davao Occidental.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50eca08388190b4e757a5f63b5d41 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.