Triple

T954065
Position Surface form Disambiguated ID Type / Status
Subject Leaf Storm E20586 entity
Predicate setting P1957 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: [Leaf Storm, setting, Macondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macondo
Context triple: [Leaf Storm, setting, 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. 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."
  • C. 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.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. 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.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3da8d508190b56b29d7f235d2c4 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119fd16c81908c43b6d3dc6d53b6 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.