Triple

T16955890
Position Surface form Disambiguated ID Type / Status
Subject Ruta 1 E411299 entity
Predicate hasJunctionWith P1018 FINISHED
Object Ruta 34
Ruta 34 is a major highway in Uruguay that serves as an important regional connector within the national road network.
 E1250696 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: Ruta 34 | Statement: [Ruta 1, hasJunctionWith, Ruta 34]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruta 34
Context triple: [Ruta 1, hasJunctionWith, Ruta 34]
  • A. Ruta 23
    Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
  • B. Ruta 27
    Ruta 27 is a major Costa Rican highway that connects the capital San José with the Pacific coast, serving as a key route for commerce and tourism.
  • C. Ruta 3
    Ruta 3 is a major national highway in Uruguay that runs through several departments and connects key cities in the country’s road network.
  • D. Ruta Nacional 38
    Ruta Nacional 38 is a major Argentine highway that runs through several provinces in the northwest, serving as an important corridor for regional connectivity and commerce.
  • E. Ruta Nacional 3
    Ruta Nacional 3 is a major Argentine highway that runs from Buenos Aires southward through Patagonia to the island of Tierra del Fuego, serving as a key route along the country’s Atlantic coast.
  • 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: Ruta 34
Triple: [Ruta 1, hasJunctionWith, Ruta 34]
Generated description
Ruta 34 is a major highway in Uruguay that serves as an important regional connector within the national road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruta 34
Target entity description: Ruta 34 is a major highway in Uruguay that serves as an important regional connector within the national road network.
  • A. Ruta 23
    Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
  • B. Ruta 27
    Ruta 27 is a major Costa Rican highway that connects the capital San José with the Pacific coast, serving as a key route for commerce and tourism.
  • C. Ruta 3
    Ruta 3 is a major national highway in Uruguay that runs through several departments and connects key cities in the country’s road network.
  • D. Ruta Nacional 38
    Ruta Nacional 38 is a major Argentine highway that runs through several provinces in the northwest, serving as an important corridor for regional connectivity and commerce.
  • E. Ruta Nacional 3
    Ruta Nacional 3 is a major Argentine highway that runs from Buenos Aires southward through Patagonia to the island of Tierra del Fuego, serving as a key route along the country’s Atlantic coast.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139eb7e388190978397aa9176a893 completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013b0a077881909f09e4de8c19d180 completed May 11, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a013bb1cde48190aac8aaa55dab68d1 completed May 11, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:31 a.m.