Triple

T834377
Position Surface form Disambiguated ID Type / Status
Subject One Hundred Years of Solitude E18037 entity
Predicate setIn P1393 FINISHED
Object Macondo E18046 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: Macondo | Statement: [One Hundred Years of Solitude, setIn, Macondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macondo
Context triple: [One Hundred Years of Solitude, setIn, 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. San Blas Kuna
    San Blas Kuna is a regional dialect of the Kuna language spoken primarily by the Guna people in the San Blas (Guna Yala) region of Panama.
  • C. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • D. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • E. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929624e88190bb7e1c644b8cc52b completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.