Triple

T12329753
Position Surface form Disambiguated ID Type / Status
Subject Ruta Nacional 40 E293925 entity
Predicate alsoKnownAs P39 FINISHED
Object RN40
RN40 is one of Argentina’s most famous highways, running parallel to the Andes and spanning the country from north to south through diverse landscapes and major tourist regions.
 E973405 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: RN40 | Statement: [Ruta Nacional 40, alsoKnownAs, RN40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RN40
Context triple: [Ruta Nacional 40, alsoKnownAs, RN40]
  • A. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • B. R40
    R40 is a regional commuter rail line in Catalonia, Spain, operating as part of the Rodalies de Catalunya network.
  • C. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • D. RN370
    RN370 is a French national road that serves as a key regional connector in the eastern suburbs of Paris, including access to the commune of Noisy-le-Grand.
  • E. N49RF
    N49RF is a NOAA-operated Gulfstream IV-SP high-altitude research jet used primarily for hurricane reconnaissance and atmospheric science missions.
  • 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: RN40
Triple: [Ruta Nacional 40, alsoKnownAs, RN40]
Generated description
RN40 is one of Argentina’s most famous highways, running parallel to the Andes and spanning the country from north to south through diverse landscapes and major tourist regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RN40
Target entity description: RN40 is one of Argentina’s most famous highways, running parallel to the Andes and spanning the country from north to south through diverse landscapes and major tourist regions.
  • A. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • B. R40
    R40 is a regional commuter rail line in Catalonia, Spain, operating as part of the Rodalies de Catalunya network.
  • C. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • D. RN370
    RN370 is a French national road that serves as a key regional connector in the eastern suburbs of Paris, including access to the commune of Noisy-le-Grand.
  • E. N49RF
    N49RF is a NOAA-operated Gulfstream IV-SP high-altitude research jet used primarily for hurricane reconnaissance and atmospheric science missions.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8f0c708190ac16a391089ab747 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5e20cc8190a84f50ddded76974 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.