Triple

T20163202
Position Surface form Disambiguated ID Type / Status
Subject Europaplein E491765 entity
Predicate servesLine P839 FINISHED
Object Metro line 52 NE NERFINISHED

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: Metro line 52 | Statement: [Europaplein, servesLine, Metro line 52]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro line 52
Context triple: [Europaplein, servesLine, Metro line 52]
  • A. Metro line 52 chosen
    Metro line 52 is Amsterdam’s North–South metro line, connecting the city’s northern and southern districts via the city center and major hubs like Amsterdam Zuid.
  • B. Metro line 51
    Metro line 51 is a former hybrid metro/light rail line in Amsterdam that connected the city center with the southern suburbs, including Amsterdam Zuid.
  • C. Metro line 50
    Metro line 50 is a rapid transit line in Amsterdam that runs in an east–west arc connecting several major residential and business districts without passing through the historic city center.
  • D. Metro Line 53
    Metro Line 53 is a rapid transit line in Amsterdam that connects the city center with the southeastern suburbs as part of the Amsterdam Metro system.
  • E. Metro Line 54
    Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66841b7d88190af3606f762d87b24 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.