Triple

T12334059
Position Surface form Disambiguated ID Type / Status
Subject Ursynów metro station E294035 entity
Predicate partOfLine P6309 FINISHED
Object Line M1 E956924 NE FINISHED

How this triple was built (2 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: [Ursynów metro station, partOfLine, Line M1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line M1
Context triple: [Ursynów metro station, partOfLine, Line M1]
  • A. Line M1 chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. M19 line
    The M19 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.