Triple

T17767588
Position Surface form Disambiguated ID Type / Status
Subject Joinville-le-Pont E443547 entity
Predicate roadAccessVia P9041 FINISHED
Object RN4
RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
 E1286810 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: RN4 | Statement: [Joinville-le-Pont, roadAccessVia, RN4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RN4
Context triple: [Joinville-le-Pont, roadAccessVia, RN4]
  • A. 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.
  • B. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • C. RN2
    RN2 is a major national highway in its country, designated as Route Nationale No. 2 and serving as an important transportation corridor.
  • D. NR54
    NR54 is the abbreviated designation for South Africa’s National Route 54, a regional highway connecting towns in the Free State and Mpumalanga provinces.
  • E. R4
    R4 is a commuter rail line in the Rodalies de Catalunya network serving key suburban and regional routes in Catalonia, Spain.
  • 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: RN4
Triple: [Joinville-le-Pont, roadAccessVia, RN4]
Generated description
RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RN4
Target entity description: RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
  • A. 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.
  • B. RN6
    RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • C. RN2
    RN2 is a major national highway in its country, designated as Route Nationale No. 2 and serving as an important transportation corridor.
  • D. NR54
    NR54 is the abbreviated designation for South Africa’s National Route 54, a regional highway connecting towns in the Free State and Mpumalanga provinces.
  • E. R4
    R4 is a commuter rail line in the Rodalies de Catalunya network serving key suburban and regional routes in Catalonia, Spain.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc14808819099ecbb8a752aff24 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f096fc648190a1ff19f2704a4cef completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1d0a4708190bbf51356da7e965e completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.