Triple

T18400396
Position Surface form Disambiguated ID Type / Status
Subject Autopista Central E449977 entity
Predicate partOf P40 FINISHED
Object Ruta 5 — NE NERFINISHED

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: Ruta 5 | Statement: [Autopista Central, partOf, Ruta 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruta 5
Context triple: [Autopista Central, partOf, Ruta 5]
  • A. Ruta 5
    Ruta 5 is a national roadway in Costa Rica that serves as a key connector within the country's highway network.
  • B. Ruta 5 chosen
    Ruta 5 is Chile’s main longitudinal highway, running the length of the country as the core section of the Pan-American Highway within Chile.
  • 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 3
    Ruta 3 is a national roadway in Costa Rica that serves as part of the country’s primary transportation network, connecting various towns and regions.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5194f2a8c8190afcd7db23e3795fb completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.