Triple

T3848782
Position Surface form Disambiguated ID Type / Status
Subject Berlin U-Bahn line U4 E85238 entity
Predicate servesLocality P26183 FINISHED
Object Schöneberg E13289 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: Schöneberg | Statement: [Berlin U-Bahn line U4, servesLocality, Schöneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schöneberg
Context triple: [Berlin U-Bahn line U4, servesLocality, Schöneberg]
  • A. Schöneberg chosen
    Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
  • B. Friedrichsdorf
    Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
  • C. Wilmersdorf
    Wilmersdorf is a residential district in southwestern Berlin known for its affluent neighborhoods, shopping streets like Kurfürstendamm, and a mix of historic and modern architecture.
  • D. Oststadt
    Oststadt is a central district of Hanover, Germany, known for its urban residential areas, cultural venues, and proximity to the city’s main commercial and administrative centers.
  • E. Schönhausen
    Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
  • 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: servesLocality
Context triple: [Berlin U-Bahn line U4, servesLocality, Schöneberg]
  • A. isServedAt
    Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
  • B. localityCondition
    Indicates a spatial or contextual constraint specifying where or under what local conditions a relationship, event, or property holds.
  • C. servesOn
    Indicates that one entity performs duties, functions, or holds a role as a member within another entity, such as a group, body, or organization.
  • D. servesFacility chosen
    Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
  • E. containsLocality
    Indicates that one place or area geographically includes or encompasses another locality within its boundaries.
  • F. None of above.

Provenance (4 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcc8a0481909c35161336bdfbf9 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560fd8808190a63143266f344e8d completed March 14, 2026, 12:35 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.