Triple

T12454355
Position Surface form Disambiguated ID Type / Status
Subject Hauptwache square E297617 entity
Predicate hasPublicTransportLines P34620 FINISHED
Object S6
S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
 E983300 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: S6 | Statement: [Hauptwache square, hasPublicTransportLines, S6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S6
Context triple: [Hauptwache square, hasPublicTransportLines, S6]
  • A. S6
    S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
  • B. S6
    S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
  • C. S68
    S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
  • D. S62
    The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
  • E. S8
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • 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: S6
Triple: [Hauptwache square, hasPublicTransportLines, S6]
Generated description
S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S6
Target entity description: S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
  • A. S6
    S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
  • B. S6
    S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
  • C. S68
    S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
  • D. S62
    The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
  • E. S8
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f190c788190adceaab8117d52a6 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6405f9f6481909bcc3b2e3deeae7e completed May 2, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.