Triple

T11684646
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A63 E277706 entity
Predicate alsoKnownAs P39 FINISHED
Object A63
A63 is a major French autoroute in southwestern France that connects Bordeaux to the Spanish border, forming part of a key European north–south transport corridor.
 E940892 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: A63 | Statement: [Autoroute A63, alsoKnownAs, A63]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A63
Context triple: [Autoroute A63, alsoKnownAs, A63]
  • A. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • B. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • C. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • D. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • E. A64
    The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
  • 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: A63
Triple: [Autoroute A63, alsoKnownAs, A63]
Generated description
A63 is a major French autoroute in southwestern France that connects Bordeaux to the Spanish border, forming part of a key European north–south transport corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A63
Target entity description: A63 is a major French autoroute in southwestern France that connects Bordeaux to the Spanish border, forming part of a key European north–south transport corridor.
  • A. A635
    A635 is a major road in Greater Manchester, England, forming part of the regional route network connecting Manchester with surrounding towns.
  • B. A66
    A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
  • C. A62
    A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
  • D. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • E. A64
    The A64 is a major road in northern England that links Leeds and York with the coastal town of Scarborough.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.