Triple

T10249575
Position Surface form Disambiguated ID Type / Status
Subject A5 motorway (France) E240303 entity
Predicate roadNumber P1864 FINISHED
Object A5
A5 is a major French autoroute that connects the Paris region to the east of the country, serving as an important long-distance traffic corridor.
E853805 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: A5 | Statement: [A5 motorway (France), roadNumber, A5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A5
Context triple: [A5 motorway (France), roadNumber, A5]
  • A. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • B. A5
    A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
  • C. A5
    The A5 is a major road in the United Kingdom that historically follows the route of the Roman Watling Street, linking London with the Midlands and North Wales.
  • D. A5
    A5 is a major German autobahn running north–south through western Germany, connecting cities such as Hattenbach, Frankfurt, and Basel.
  • E. A55
    The A55 is a major road in North Wales that forms part of the key route along the north coast, linking towns such as Hawarden to the wider regional and national road network.
  • 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: A5
Triple: [A5 motorway (France), roadNumber, A5]
Generated description
A5 is a major French autoroute that connects the Paris region to the east of the country, serving as an important long-distance traffic corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A5
Target entity description: A5 is a major French autoroute that connects the Paris region to the east of the country, serving as an important long-distance traffic corridor.
  • A. A5
    A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
  • B. A5
    A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
  • C. A5
    The A5 is a major road in the United Kingdom that historically follows the route of the Roman Watling Street, linking London with the Midlands and North Wales.
  • D. A5
    A5 is a major German autobahn running north–south through western Germany, connecting cities such as Hattenbach, Frankfurt, and Basel.
  • E. A55
    The A55 is a major road in North Wales that forms part of the key route along the north coast, linking towns such as Hawarden to the wider regional and national road network.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fa303d4c8190b9f1c3addf7d8b09 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6ff301d488190b18f1e02bbf1dada completed April 9, 2026, 1:21 a.m.
Created at: April 6, 2026, 11:28 a.m.