Triple

T17239783
Position Surface form Disambiguated ID Type / Status
Subject Woodall services E418458 entity
Predicate hasRoadNumber P1864 FINISHED
Object M1
M1 is a major north–south motorway in England that connects London with Yorkshire and serves as a key route for long-distance traffic.
E418454 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: M1 | Statement: [Woodall services, hasRoadNumber, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M1
Context triple: [Woodall services, hasRoadNumber, M1]
  • A. M1
    M1 is a major Hungarian motorway that connects the capital city Budapest with the Austrian border, forming part of a key international transport corridor.
  • B. M1
    M1 is a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
  • C. M1
    M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
  • D. M1
    M1 is a major Irish motorway that connects Dublin to the border with Northern Ireland, forming part of the primary route between the Republic of Ireland and Belfast.
  • E. M1
    M1 is one of the main metro lines in the Helsinki public transport system, serving key districts across the Helsinki metropolitan area.
  • 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: M1
Triple: [Woodall services, hasRoadNumber, M1]
Generated description
M1 is a major north–south motorway in England that connects London with Yorkshire and serves as a key route for long-distance traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M1
Target entity description: M1 is a major north–south motorway in England that connects London with Yorkshire and serves as a key route for long-distance traffic.
  • A. M1 chosen
    M1 is a major north–south motorway in England connecting London with Leeds and forming a key part of the UK’s primary road network.
  • B. M1
    M1 is a major Irish motorway that connects Dublin to the border with Northern Ireland, forming part of the primary route between the Republic of Ireland and Belfast.
  • C. M1
    M1 is a major motorway in New South Wales, Australia, forming a key part of the coastal route between Sydney and the state's northern and southern regions.
  • D. M1
    M1 is a major Hungarian motorway that connects the capital city Budapest with the Austrian border, forming part of a key international transport corridor.
  • E. M1
    M1 is a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
  • F. None of above.

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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ca18c081909ef80a4056b3dbf7 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01827fc64c81909784dbf0f3ed4586 completed May 11, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0182f52dd88190afa4ec4a711552e5 completed May 11, 2026, 7:19 a.m.
Created at: April 10, 2026, 5:39 a.m.