Triple

T7075568
Position Surface form Disambiguated ID Type / Status
Subject Berlin Gesundbrunnen E164808 entity
Predicate servedByLine P1293 FINISHED
Object S42
S42 is a Berlin S-Bahn ring line service that operates clockwise around the city, connecting major stations including Berlin Gesundbrunnen.
 E142487 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: S42 | Statement: [Berlin Gesundbrunnen, servedByLine, S42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S42
Context triple: [Berlin Gesundbrunnen, servedByLine, S42]
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S41
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
  • C. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • D. S47
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • E. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • 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: S42
Triple: [Berlin Gesundbrunnen, servedByLine, S42]
Generated description
S42 is a Berlin S-Bahn ring line service that operates clockwise around the city, connecting major stations including Berlin Gesundbrunnen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S42
Target entity description: S42 is a Berlin S-Bahn ring line service that operates clockwise around the city, connecting major stations including Berlin Gesundbrunnen.
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S41 chosen
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
  • C. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • D. S47
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • E. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79468c7688190bf10433f05e77574 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c79530c0588190826350a1cbcd5325 completed March 28, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69c795b1be18819087a4a70fc567bd80 completed March 28, 2026, 8:47 a.m.
Created at: March 27, 2026, 2:40 p.m.