Triple

T1243613
Position Surface form Disambiguated ID Type / Status
Subject Berlin S-Bahn E26713 entity
Predicate hasLine P35 FINISHED
Object S26
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
E143048 NE FINISHED

How this triple was built (4 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: S26 | Statement: [Berlin S-Bahn, hasLine, S26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S26
Context triple: [Berlin S-Bahn, hasLine, S26]
  • A. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • B. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • C. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • D. The 6s
    The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • E. S
    S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
  • 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: S26
Triple: [Berlin S-Bahn, hasLine, S26]
Generated description
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S26
Target entity description: S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
  • A. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • B. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • C. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • D. The 6s
    The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • E. S
    S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf636e208190a4d56806db61916c completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c186fc8190a353c8f0a90ce273 completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94abbd748190851f3d53ec909494 completed March 7, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69ac9506ec5481909014834364f4e7f7 completed March 7, 2026, 9:13 p.m.
Created at: March 1, 2026, 7:47 p.m.