Triple

T7750198
Position Surface form Disambiguated ID Type / Status
Subject Aranzazu E175737 entity
Predicate locatedInRegion 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: [Aranzazu, locatedInRegion, Eje Cafetero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eje Cafetero
Context triple: [Aranzazu, locatedInRegion, 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 is a department in southwestern Colombia known for its diverse geography, indigenous communities, and cultural richness.
  • C. Cauca
    Cauca was an ancient Roman town in Hispania, located in what is now Coca in the province of Segovia, Spain.
  • 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. Valle de Aburrá
    Valle de Aburrá is a densely populated valley in the Colombian Andes that encompasses the city of Medellín and its surrounding metropolitan area.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b13af08190b110104fe96ef91e completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be576274819092e5ebdbcf2361da completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.