Triple

T16955889
Position Surface form Disambiguated ID Type / Status
Subject Ruta 1 E411299 entity
Predicate hasJunctionWith P1018 FINISHED
Object Ruta 23
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
E1248944 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 23 | Statement: [Ruta 1, hasJunctionWith, Ruta 23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruta 23
Context triple: [Ruta 1, hasJunctionWith, Ruta 23]
  • A. 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.
  • B. 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.
  • C. Ruta 32
    Ruta 32 is a major Costa Rican highway that connects the capital city of San José with the Caribbean port city of Limón, serving as a key route across the country’s central mountains.
  • D. Ruta 1
    Ruta 1 is a major Costa Rican highway that forms part of the Inter-American Highway, connecting the capital San José with key cities and regions to the northwest.
  • E. 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.
  • 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 23
Triple: [Ruta 1, hasJunctionWith, Ruta 23]
Generated description
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruta 23
Target entity description: Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
  • A. 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.
  • B. 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.
  • C. Ruta 32
    Ruta 32 is a major Costa Rican highway that connects the capital city of San José with the Caribbean port city of Limón, serving as a key route across the country’s central mountains.
  • D. Ruta 1
    Ruta 1 is a major Costa Rican highway that forms part of the Inter-American Highway, connecting the capital San José with key cities and regions to the northwest.
  • E. 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.
  • 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_6a012eccd1e48190aa0dc64562d6ff1f completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012f6e3ba4819081aa185f5e968370 completed May 11, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a012fe91b7c8190a420bdd22f487f29 completed May 11, 2026, 1:24 a.m.
Created at: April 10, 2026, 5:31 a.m.