Triple

T20166577
Position Surface form Disambiguated ID Type / Status
Subject Monash Freeway E491838 entity
Predicate hasRouteNumber P1864 FINISHED
Object M1
M1 is a major urban freeway route designation in Melbourne, Australia, forming part of the city’s primary east–west transport corridor.
E1414548 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: [Monash Freeway, hasRouteNumber, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M1
Context triple: [Monash Freeway, hasRouteNumber, M1]
  • A. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • 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 one of the main metro lines in the Helsinki public transport system, serving key districts across the Helsinki metropolitan area.
  • D. M1
    M1 is a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
  • E. M1
    M1 is the main primary mirror of the Extremely Large Telescope, responsible for collecting and focusing incoming light for its observations.
  • 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: [Monash Freeway, hasRouteNumber, M1]
Generated description
M1 is a major urban freeway route designation in Melbourne, Australia, forming part of the city’s primary east–west transport corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M1
Target entity description: M1 is a major urban freeway route designation in Melbourne, Australia, forming part of the city’s primary east–west transport corridor.
  • 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 a major north–south urban freeway in Johannesburg, South Africa, connecting the city center with key suburbs and routes.
  • C. 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.
  • 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 the first line of the Milan Metro system, a major rapid transit route serving the Italian city of Milan.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08347f265c8190af58b1d960fb34fd completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0835b123dc8190a666dbeda18b9bc9 completed May 16, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a083677d1148190add2826f6e8a0b14 completed May 16, 2026, 9:18 a.m.
Created at: April 11, 2026, 11:35 p.m.