Triple

T20667875
Position Surface form Disambiguated ID Type / Status
Subject Munich S-Bahn E507939 entity
Predicate hasLine P35 FINISHED
Object S20
S20 is a suburban rail line of the Munich S-Bahn network serving the Munich metropolitan area.
 E1444677 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: S20 | Statement: [Munich S-Bahn, hasLine, S20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S20
Context triple: [Munich S-Bahn, hasLine, S20]
  • A. S20
    S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
  • B. S200
    S200 is a Siemens-manufactured light rail vehicle model used by several transit agencies in North America for modern urban rail services.
  • C. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • D. S22
    S22 is a regional rail service in the Vaud canton of Switzerland that operates as part of the RER Vaud commuter rail network.
  • E. 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.
  • 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: S20
Triple: [Munich S-Bahn, hasLine, S20]
Generated description
S20 is a suburban rail line of the Munich S-Bahn network serving the Munich metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S20
Target entity description: S20 is a suburban rail line of the Munich S-Bahn network serving the Munich metropolitan area.
  • A. S20
    S20 is a Chinese expressway route designation used for the S20 Outer Ring Expressway.
  • B. S200
    S200 is a Siemens-manufactured light rail vehicle model used by several transit agencies in North America for modern urban rail services.
  • C. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • D. S22
    S22 is a regional rail service in the Vaud canton of Switzerland that operates as part of the RER Vaud commuter rail network.
  • E. 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.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd6271e481909e3a6f10ec40ce11 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.