Triple

T16225235
Position Surface form Disambiguated ID Type / Status
Subject Hauptwache station E393826 entity
Predicate servedByLine P1293 FINISHED
Object S1
S1 is a line of the Rhine-Main S-Bahn network serving the Frankfurt am Main region in Germany.
E983301 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: S1 | Statement: [Hauptwache station, servedByLine, S1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S1
Context triple: [Hauptwache station, servedByLine, S1]
  • A. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • B. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • C. S1
    S1 is one of Munich’s S-Bahn commuter rail lines that connects the city center with its northwestern suburbs and Munich Airport.
  • D. S1
    S1 is the professional alias of Symbolyc One, a Grammy-winning American hip-hop and R&B record producer known for his work with artists like Kanye West and Beyoncé.
  • E. S1
    S1 is a rapid transit line of the Hamburg S-Bahn network in Germany, connecting key suburbs with central Hamburg.
  • 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: S1
Triple: [Hauptwache station, servedByLine, S1]
Generated description
S1 is a line of the Rhine-Main S-Bahn network serving the Frankfurt am Main region in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S1
Target entity description: S1 is a line of the Rhine-Main S-Bahn network serving the Frankfurt am Main region in Germany.
  • A. S1 chosen
    S1 is a commuter rail line within the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
  • B. S1
    S1 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • C. S1
    S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
  • D. S1
    S1 is a rapid transit line of the Hamburg S-Bahn network in Germany, connecting key suburbs with central Hamburg.
  • E. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • F. None of above.

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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d25f8bc81909aa59b794a528db2 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009f631e08190aae358edc9ffad6b completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000a6de0488190ac72fb9eee9ec531 completed May 10, 2026, 4:32 a.m.
Created at: April 10, 2026, 5:03 a.m.