Triple

T17427372
Position Surface form Disambiguated ID Type / Status
Subject Charleroi Metro E423773 entity
Predicate hasLine P35 FINISHED
Object Line M3 NE NERFINISHED

How this triple was built (3 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: Line M3 | Statement: [Charleroi Metro, hasLine, Line M3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line M3
Context triple: [Charleroi Metro, hasLine, Line M3]
  • A. Line M2
    Line M2 is a route of the Charleroi Metro system in Belgium, serving as part of the city's light rail rapid transit network.
  • B. Line M1
    Line M1 is a primary metro line of the Warsaw Metro system, running north–south through the city and serving key residential and commercial districts.
  • C. Line M1
    Line M1 is a light metro route within the Charleroi Metro system in Belgium, serving as one of its primary urban transit lines.
  • D. Line M
    Line M is a cable car line within the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • E. Line 3
    Line 3 is a major north–south route of the Seoul Metropolitan Subway system, connecting key residential and commercial districts across the city and into surrounding areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line M3
Target entity description: Line M3 is a light metro route within the Charleroi Metro network in Belgium, serving suburban areas around the city.
  • A. Line M2
    Line M2 is a route of the Charleroi Metro system in Belgium, serving as part of the city's light rail rapid transit network.
  • B. Line M1
    Line M1 is a primary metro line of the Warsaw Metro system, running north–south through the city and serving key residential and commercial districts.
  • C. Line M1
    Line M1 is a light metro route within the Charleroi Metro system in Belgium, serving as one of its primary urban transit lines.
  • D. Line M
    Line M is a cable car line within the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • E. Line 3
    Line 3 is a major north–south route of the Seoul Metropolitan Subway system, connecting key residential and commercial districts across the city and into surrounding areas.
  • F. None of above. chosen

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fdc1348190985db52c8c74c394 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.