Triple

T8974481
Position Surface form Disambiguated ID Type / Status
Subject Ruta Nacional 55 (Colombia) E214350 entity
Predicate hasAbbreviation P43 FINISHED
Object RN 55
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
 E769205 NE FINISHED

How this triple was built (4 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: RN 55 | Statement: [Ruta Nacional 55 (Colombia), hasAbbreviation, RN 55]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RN 55
Context triple: [Ruta Nacional 55 (Colombia), hasAbbreviation, RN 55]
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. RN 60
    RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
  • C. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • D. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • E. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RN 55
Triple: [Ruta Nacional 55 (Colombia), hasAbbreviation, RN 55]
Generated description
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RN 55
Target entity description: RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. RN 60
    RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
  • C. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • D. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • E. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • F. None of above. chosen

Provenance (5 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6783abe48190840e652fc2acf28f completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc966f7d881908f4f80c2a0d820fe completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfc9ef5e548190a134c2bf0aa380b5 completed April 3, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfca735c50819088c2805c62d96d62 completed April 3, 2026, 2:10 p.m.
Created at: March 30, 2026, 7:02 p.m.