Triple

T7542852
Position Surface form Disambiguated ID Type / Status
Subject Salamina E178322 entity
Predicate region P40 FINISHED
Object Eje Cafetero E371825 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: Eje Cafetero | Statement: [Salamina, region, Eje Cafetero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eje Cafetero
Context triple: [Salamina, region, Eje Cafetero]
  • A. Eje Cafetero chosen
    Eje Cafetero is a mountainous region in central Colombia renowned for its coffee plantations, lush landscapes, and role as the heart of the country’s coffee production and culture.
  • B. Cauca
    Cauca was an ancient Roman town in Hispania, located in what is now Coca in the province of Segovia, Spain.
  • C. Cauca
    Cauca is a department in southwestern Colombia known for its diverse geography, indigenous communities, and cultural richness.
  • D. Northwestern Colombia
    Northwestern Colombia is a geographic region of Colombia bordering the Caribbean Sea and Panama, known for its coastal lowlands, tropical climate, and strategic location as a gateway between South and Central America.
  • E. Bochica
    Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8762b048190a0b262f9cb3fe1b0 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f1d1e148190be015c62ae1ea1e8 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.