Triple

T9801060
Position Surface form Disambiguated ID Type / Status
Subject A3 motorway (France) E237837 entity
Predicate roadNumber P1864 FINISHED
Object A3
A3 is a French autoroute designation for a major motorway segment within the national highway network.
 E822158 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: A3 | Statement: [A3 motorway (France), roadNumber, A3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A3
Context triple: [A3 motorway (France), roadNumber, A3]
  • A. A3
    A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
  • B. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • C. A3
    A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
  • D. A3
    A3 is a major Swiss motorway that runs across the country’s north, connecting key cities and regions as part of the national highway network.
  • E. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • 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: A3
Triple: [A3 motorway (France), roadNumber, A3]
Generated description
A3 is a French autoroute designation for a major motorway segment within the national highway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A3
Target entity description: A3 is a French autoroute designation for a major motorway segment within the national highway network.
  • A. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • B. A3
    A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
  • C. A3
    A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
  • D. A3
    A3 is a major Swiss motorway that runs across the country’s north, connecting key cities and regions as part of the national highway network.
  • E. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:29 p.m.