Triple

T20037801
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E497321 entity
Predicate hasU-BahnLine P17559 FINISHED
Object U1 — 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: U1 | Statement: [Schöneberg, hasU-BahnLine, U1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U1
Context triple: [Schöneberg, hasU-BahnLine, U1]
  • A. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • B. U1
    U1 is a major line of the Vienna U-Bahn rapid transit system, running in a north–south direction and connecting key districts across the city.
  • C. U1
    U1 is a rapid transit line of the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
  • D. U1 chosen
    U1 is one of Berlin’s oldest and most central U-Bahn lines, running predominantly east–west through inner-city districts and serving key cultural and nightlife areas.
  • E. U1
    U1 is a major line of the Munich U-Bahn rapid transit system, running through key districts of the city and connecting important residential and commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasU-BahnLine
Context triple: [Schöneberg, hasU-BahnLine, U1]
  • A. hasUBahnService
    Indicates that a location or facility is served by, or has access to, an underground metro (U-Bahn) transit line.
  • B. hasTramTrainLine
    Indicates that there exists a tram-train line connection or service linking the related entities.
  • C. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • D. hasMetroLine chosen
    Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
  • E. hasShuttleLine
    Indicates that there is a shuttle service or route operating between the related entities.
  • F. None of above.

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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:36 p.m.