Triple

T10885866
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A10 E257042 entity
Predicate hasJunctionWith P1018 FINISHED
Object A11
A11 is a French motorway that connects with the A10 and serves as a major route linking the Paris region to western France.
 E892059 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: A11 | Statement: [Autoroute A10, hasJunctionWith, A11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A11
Context triple: [Autoroute A10, hasJunctionWith, A11]
  • A. A12
    The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
  • B. A12
    A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
  • C. A10
    The A10 is a major road in England that runs from London northwards through Hertfordshire and Cambridgeshire, forming a key route between the capital and East Anglia.
  • D. A10
    A10 is a major orbital motorway encircling Amsterdam in the Netherlands, connecting various national highways and providing primary access to the city.
  • E. A10
    A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
  • 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: A11
Triple: [Autoroute A10, hasJunctionWith, A11]
Generated description
A11 is a French motorway that connects with the A10 and serves as a major route linking the Paris region to western France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A11
Target entity description: A11 is a French motorway that connects with the A10 and serves as a major route linking the Paris region to western France.
  • A. A12
    The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
  • B. A12
    A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
  • C. A10
    The A10 is a major road in England that runs from London northwards through Hertfordshire and Cambridgeshire, forming a key route between the capital and East Anglia.
  • D. A10
    A10 is a major orbital motorway encircling Amsterdam in the Netherlands, connecting various national highways and providing primary access to the city.
  • E. A10
    A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154e49ab08190b522b5361ac65c01 completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e17d3060888190b3801272835b939a completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1806bc1048190bcbff6f6d3d7da19 completed April 17, 2026, 12:35 a.m.
Created at: April 8, 2026, 9:21 p.m.