Triple

T11953958
Position Surface form Disambiguated ID Type / Status
Subject Imielin metro station E284500 entity
Predicate partOfLine P6309 FINISHED
Object 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.
E956924 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: Line M1 | Statement: [Imielin metro station, partOfLine, Line M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line M1
Context triple: [Imielin metro station, partOfLine, Line M1]
  • A. 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.
  • B. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • C. M41 line
    The M41 line is a planned or operational rapid transit route within the Istanbul Metro system, serving as part of the city's expanding urban rail network.
  • D. M19 line
    The M19 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • E. Line A
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • 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: Line M1
Triple: [Imielin metro station, partOfLine, Line M1]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line M1
Target entity description: 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.
  • A. 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.
  • B. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • C. M41 line
    The M41 line is a planned or operational rapid transit route within the Istanbul Metro system, serving as part of the city's expanding urban rail network.
  • D. M19 line
    The M19 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • E. Line A
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:45 p.m.