Triple

T15890301
Position Surface form Disambiguated ID Type / Status
Subject Inter-American Highway in Mexico E385299 entity
Predicate partOfNetwork P840 FINISHED
Object Latin American highway network
The Latin American highway network is an extensive system of interconnected roads spanning multiple countries in Latin America, designed to facilitate regional transportation, trade, and travel across the continent.
E2745 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: Latin American highway network | Statement: [Inter-American Highway in Mexico, partOfNetwork, Latin American highway network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin American highway network
Context triple: [Inter-American Highway in Mexico, partOfNetwork, Latin American highway network]
  • A. Mexican Federal Highway network
    The Mexican Federal Highway network is the nationwide system of major roads in Mexico that connects cities, regions, and borders, facilitating long-distance travel and commerce across the country.
  • B. Inter-American Highway
    The Inter-American Highway is a major network of roads in Central America that forms a key segment of the larger Pan-American Highway system, connecting the United States–Mexico border to Panama.
  • C. Brazilian highway system
    The Brazilian highway system is an extensive national network of federal and state roads that connects major cities, economic centers, and remote regions across Brazil, serving as the backbone of the country’s land transportation.
  • D. Pan-American Highway
    The Pan-American Highway is an extensive network of roads stretching across the Americas, connecting multiple countries from North to South.
  • E. Peruvian national road system
    The Peruvian national road system is the country’s primary network of highways and major roads that connects its regions, cities, and economic centers across diverse coastal, Andean, and jungle terrains.
  • 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: Latin American highway network
Triple: [Inter-American Highway in Mexico, partOfNetwork, Latin American highway network]
Generated description
The Latin American highway network is an extensive system of interconnected roads spanning multiple countries in Latin America, designed to facilitate regional transportation, trade, and travel across the continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Latin American highway network
Target entity description: The Latin American highway network is an extensive system of interconnected roads spanning multiple countries in Latin America, designed to facilitate regional transportation, trade, and travel across the continent.
  • A. Mexican Federal Highway network
    The Mexican Federal Highway network is the nationwide system of major roads in Mexico that connects cities, regions, and borders, facilitating long-distance travel and commerce across the country.
  • B. Inter-American Highway
    The Inter-American Highway is a major network of roads in Central America that forms a key segment of the larger Pan-American Highway system, connecting the United States–Mexico border to Panama.
  • C. Brazilian highway system
    The Brazilian highway system is an extensive national network of federal and state roads that connects major cities, economic centers, and remote regions across Brazil, serving as the backbone of the country’s land transportation.
  • D. Pan-American Highway chosen
    The Pan-American Highway is an extensive network of roads stretching across the Americas, connecting multiple countries from North to South.
  • E. Peruvian national road system
    The Peruvian national road system is the country’s primary network of highways and major roads that connects its regions, cities, and economic centers across diverse coastal, Andean, and jungle terrains.
  • F. None of above.

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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561e5ac481908ead7de3140c769d completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1bd6e8481908701dcc7f61989f2 completed May 9, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69ffb27b5840819090ae42bea2996072 completed May 9, 2026, 10:17 p.m.
Created at: April 10, 2026, 4:51 a.m.