Triple

T12191733
Position Surface form Disambiguated ID Type / Status
Subject Stellingen station E290479 entity
Predicate servedByLine P1293 FINISHED
Object S21
S21 is a suburban rail line that forms part of the Hamburg S-Bahn network in Germany.
 E969792 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: S21 | Statement: [Stellingen station, servedByLine, S21]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S21
Context triple: [Stellingen station, servedByLine, S21]
  • A. S21
    S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
  • B. S20
    S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
  • C. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • D. S2
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • E. S2
    S2 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, connecting various cities and suburbs in the densely populated Rhine-Ruhr metropolitan region.
  • 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: S21
Triple: [Stellingen station, servedByLine, S21]
Generated description
S21 is a suburban rail line that forms part of the Hamburg S-Bahn network in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S21
Target entity description: S21 is a suburban rail line that forms part of the Hamburg S-Bahn network in Germany.
  • A. S21
    S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
  • B. S20
    S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
  • C. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • D. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • E. S2
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60c9276d0819086b5f7712fe8d6e6 completed May 2, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.