Triple

T6669895
Position Surface form Disambiguated ID Type / Status
Subject Gesundbrunnen locality E151699 entity
Predicate hasUBahnService P72381 FINISHED
Object Berlin U-Bahn E144841 NE FINISHED

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: Berlin U-Bahn | Statement: [Gesundbrunnen locality, hasUBahnService, Berlin U-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin U-Bahn
Context triple: [Gesundbrunnen locality, hasUBahnService, Berlin U-Bahn]
  • A. Berlin U-Bahn chosen
    The Berlin U-Bahn is the German capital’s extensive underground rapid transit system, forming a core part of its public transportation network.
  • B. Berlin Stadtbahn
    Berlin Stadtbahn is a major elevated east–west railway corridor in Berlin that carries S-Bahn and regional trains through the city’s central districts.
  • C. Berlin S-Bahn
    The Berlin S-Bahn is a rapid transit railway network serving Berlin and its surrounding areas, integrating suburban and urban rail services across the metropolitan region.
  • D. Berlin U-Bahn line U2
    Berlin U-Bahn line U2 is one of the main metro lines in Berlin, running east–west across the city and connecting key central districts and landmarks.
  • E. Frankfurt U-Bahn
    The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
  • 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: hasUBahnService
Context triple: [Gesundbrunnen locality, hasUBahnService, Berlin U-Bahn]
  • A. hasTramway
    Indicates that a location or area is served by, contains, or is connected to a tramway system.
  • B. hasShuttleLine
    Indicates that there is a shuttle service or route operating between the related entities.
  • C. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • D. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • E. hasTrolleybusLine
    Indicates that there exists a trolleybus service or route connecting the related entities.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8274d1994819089af156d634547ee completed March 28, 2026, 7:09 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6ce72809c8190be85f6e42ca1c8ea completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 2:02 p.m.