Triple

T4174666
Position Surface form Disambiguated ID Type / Status
Subject M1 motorway E86446 entity
Predicate roadNumber P1864 FINISHED
Object M1
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.
 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: [M1 motorway, roadNumber, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M1
Context triple: [M1 motorway, roadNumber, M1]
  • A. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • B. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • C. M1
    M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
  • D. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • E. M1
    M1 is a light metro line in Lausanne, Switzerland, connecting the city center with the university and lakeside areas.
  • 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: [M1 motorway, roadNumber, M1]
Generated description
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.
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 connecting London with Leeds and forming a key part of the UK’s primary road network.
  • A. 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.
  • B. M1
    M1 is one of the main lines of the Copenhagen Metro, providing rapid transit service through central Copenhagen and connecting key residential and commercial areas.
  • C. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • D. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • E. M1
    M1 is a light metro line in Lausanne, Switzerland, connecting the city center with the university and lakeside areas.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5800ab42c8190a1bc6f84db38f170 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5843d6ac88190804242661d077546 completed March 14, 2026, 3:52 p.m.
Created at: March 9, 2026, 3:45 p.m.