Triple

T17614938
Position Surface form Disambiguated ID Type / Status
Subject Adliswil E429058 entity
Predicate S-BahnLine P848 FINISHED
Object S4
S4 is a line of the Zürich S-Bahn suburban rail network serving the Adliswil area and other nearby communities.
 E1277874 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: S4 | Statement: [Adliswil, S-BahnLine, S4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S4
Context triple: [Adliswil, S-BahnLine, S4]
  • A. S4
    S4 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and regional connections across the metropolitan area.
  • B. S4
    S4 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • C. S4
    S4 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and connects Munich with its surrounding suburbs.
  • D. S4
    S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
  • E. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
  • 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: S4
Triple: [Adliswil, S-BahnLine, S4]
Generated description
S4 is a line of the Zürich S-Bahn suburban rail network serving the Adliswil area and other nearby communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S4
Target entity description: S4 is a line of the Zürich S-Bahn suburban rail network serving the Adliswil area and other nearby communities.
  • A. S4
    S4 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and regional connections across the metropolitan area.
  • B. S4
    S4 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • C. S4
    S4 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and connects Munich with its surrounding suburbs.
  • D. S4
    S4 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • E. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e82849748190a6ce3a1f7a7fc77b completed May 11, 2026, 2:31 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:51 a.m.