Triple

T9205406
Position Surface form Disambiguated ID Type / Status
Subject Princess Street (Manchester) E220962 entity
Predicate hasPostalCode P222 FINISHED
Object M1
M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
E785839 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: [Princess Street (Manchester), hasPostalCode, M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M1
Context triple: [Princess Street (Manchester), hasPostalCode, M1]
  • A. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • B. M1
    M1 is the region of the brain’s frontal lobe responsible for executing voluntary movements by sending motor commands to the muscles.
  • C. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • 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 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.
  • 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: [Princess Street (Manchester), hasPostalCode, M1]
Generated description
M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M1
Target entity description: M1 is a central Manchester, England postcode district that covers much of the city centre’s commercial and cultural core.
  • A. 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.
  • 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 lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • D. 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.
  • E. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e09fbc81908159b386038b3d73 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.