Triple

T6623172
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Ealing E149725 entity
Predicate hasMajorRoad P385 FINISHED
Object A4
A4 is a major west–east arterial road in London that forms part of the primary route between central London, Heathrow Airport, and the west of England.
E606267 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: A4 | Statement: [London Borough of Ealing, hasMajorRoad, A4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A4
Context triple: [London Borough of Ealing, hasMajorRoad, A4]
  • A. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • B. A4
    A4 is a major Swiss motorway that connects the Zurich region with central and northern Switzerland, facilitating both national and international traffic.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: A4
Triple: [London Borough of Ealing, hasMajorRoad, A4]
Generated description
A4 is a major west–east arterial road in London that forms part of the primary route between central London, Heathrow Airport, and the west of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A4
Target entity description: A4 is a major west–east arterial road in London that forms part of the primary route between central London, Heathrow Airport, and the west of England.
  • A. A4
    A4 is a major French autoroute that connects Paris to the eastern regions of France and onward toward Germany.
  • B. A4
    A4 is a major Swiss motorway that connects the Zurich region with central and northern Switzerland, facilitating both national and international traffic.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e52ba51c81908439acc1a4af9d6e completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5b6e6f48190a813fcd1473be4e1 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:58 p.m.