Triple

T3417148
Position Surface form Disambiguated ID Type / Status
Subject Hallesches Tor E72035 entity
Predicate hasOriginalNetwork P2594 FINISHED
Object Stammstrecke of Berlin U-Bahn
The Stammstrecke of the Berlin U-Bahn is the original core subway line in Berlin’s rapid transit system, forming the historic backbone from which the network later expanded.
E144841 NE FINISHED

How this triple was built (5 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: Stammstrecke of Berlin U-Bahn | Statement: [Hallesches Tor, hasOriginalNetwork, Stammstrecke of Berlin U-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stammstrecke of Berlin U-Bahn
Context triple: [Hallesches Tor, hasOriginalNetwork, Stammstrecke of Berlin U-Bahn]
  • A. Berlin U-Bahn
    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 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.
  • C. Berlin U-Bahn line U4
    Berlin U-Bahn line U4 is one of the shortest and oldest lines in Berlin’s subway network, running entirely within the Schöneberg district and connecting a small number of central stations.
  • D. Berlin U-Bahn line U7
    Berlin U-Bahn line U7 is one of the city's major underground metro lines, running in a long east–west arc across numerous districts and serving as a key backbone of Berlin’s public transport network.
  • E. Berlin U-Bahn line U6
    Berlin U-Bahn line U6 is a major north–south underground metro line in Berlin that connects the northern district of Tegel with southern neighborhoods through the city center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stammstrecke of Berlin U-Bahn
Triple: [Hallesches Tor, hasOriginalNetwork, Stammstrecke of Berlin U-Bahn]
Generated description
The Stammstrecke of the Berlin U-Bahn is the original core subway line in Berlin’s rapid transit system, forming the historic backbone from which the network later expanded.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stammstrecke of Berlin U-Bahn
Target entity description: The Stammstrecke of the Berlin U-Bahn is the original core subway line in Berlin’s rapid transit system, forming the historic backbone from which the network later expanded.
  • 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 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.
  • C. Berlin U-Bahn line U4
    Berlin U-Bahn line U4 is one of the shortest and oldest lines in Berlin’s subway network, running entirely within the Schöneberg district and connecting a small number of central stations.
  • D. Berlin U-Bahn line U7
    Berlin U-Bahn line U7 is one of the city's major underground metro lines, running in a long east–west arc across numerous districts and serving as a key backbone of Berlin’s public transport network.
  • E. Berlin U-Bahn line U6
    Berlin U-Bahn line U6 is a major north–south underground metro line in Berlin that connects the northern district of Tegel with southern neighborhoods through the city center.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalNetwork
Context triple: [Hallesches Tor, hasOriginalNetwork, Stammstrecke of Berlin U-Bahn]
  • A. originalNetwork chosen
    Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
  • B. hasOriginalVersion
    Indicates that one entity is the original or initial version from which another entity is derived or adapted.
  • C. originalNetworkName
    Indicates the name of the network from which something (e.g., data, content, or a connection) originally came.
  • D. hasPrimaryNetwork
    Indicates that an entity is associated with or connected to its main or most important network among potentially multiple networks.
  • E. hasOriginIn
    Indicates that something begins, arises, or is derived from a specified source, place, or cause.
  • F. None of above.

Provenance (6 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92c20fc81909b5debced20ec083 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3566da174819086160cd254e0a443 completed March 13, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69adadfcbc38819080852c18240451c5 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.