Triple

T19431416
Position Surface form Disambiguated ID Type / Status
Subject Gare de Valenciennes E486121 entity
Predicate railwayLine P848 FINISHED
Object Valenciennes–Aulnoye-Aymeries railway
The Valenciennes–Aulnoye-Aymeries railway is a regional rail line in northern France that connects the city of Valenciennes with Aulnoye-Aymeries, serving as part of the local passenger and freight network.
E1379832 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: Valenciennes–Aulnoye-Aymeries railway | Statement: [Gare de Valenciennes, railwayLine, Valenciennes–Aulnoye-Aymeries railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valenciennes–Aulnoye-Aymeries railway
Context triple: [Gare de Valenciennes, railwayLine, Valenciennes–Aulnoye-Aymeries railway]
  • A. Valenciennes–Thionville railway
    The Valenciennes–Thionville railway is a major French rail line in northern and eastern France that connects the industrial city of Valenciennes to Thionville near the Luxembourg border, serving both passenger and freight traffic.
  • B. Valenciennes–Mons railway
    The Valenciennes–Mons railway is an international rail line in Western Europe that connects the French city of Valenciennes with the Belgian city of Mons, serving both passenger and freight traffic.
  • C. Paris–Crépy-en-Valois railway
    The Paris–Crépy-en-Valois railway is a regional rail line in northern France connecting Paris to the town of Crépy-en-Valois, serving commuter and local passenger traffic.
  • D. Reims–Charleville railway
    The Reims–Charleville railway is a French rail line in northeastern France that connects the city of Reims with Charleville-Mézières, serving as an important regional passenger and freight route.
  • E. Paris–Soissons railway
    The Paris–Soissons railway is a French rail line connecting Paris to the city of Soissons, serving both regional and commuter traffic in the northern part of the country.
  • 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: Valenciennes–Aulnoye-Aymeries railway
Triple: [Gare de Valenciennes, railwayLine, Valenciennes–Aulnoye-Aymeries railway]
Generated description
The Valenciennes–Aulnoye-Aymeries railway is a regional rail line in northern France that connects the city of Valenciennes with Aulnoye-Aymeries, serving as part of the local passenger and freight network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valenciennes–Aulnoye-Aymeries railway
Target entity description: The Valenciennes–Aulnoye-Aymeries railway is a regional rail line in northern France that connects the city of Valenciennes with Aulnoye-Aymeries, serving as part of the local passenger and freight network.
  • A. Valenciennes–Thionville railway
    The Valenciennes–Thionville railway is a major French rail line in northern and eastern France that connects the industrial city of Valenciennes to Thionville near the Luxembourg border, serving both passenger and freight traffic.
  • B. Valenciennes–Mons railway
    The Valenciennes–Mons railway is an international rail line in Western Europe that connects the French city of Valenciennes with the Belgian city of Mons, serving both passenger and freight traffic.
  • C. Paris–Crépy-en-Valois railway
    The Paris–Crépy-en-Valois railway is a regional rail line in northern France connecting Paris to the town of Crépy-en-Valois, serving commuter and local passenger traffic.
  • D. Reims–Charleville railway
    The Reims–Charleville railway is a French rail line in northeastern France that connects the city of Reims with Charleville-Mézières, serving as an important regional passenger and freight route.
  • E. Paris–Soissons railway
    The Paris–Soissons railway is a French rail line connecting Paris to the city of Soissons, serving both regional and commuter traffic in the northern part of the country.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07470db894819096438b9a1316068d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492428bc819084dad08d711679a5 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:37 p.m.