Triple

T20481969
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Schwabstraße E502477 entity
Predicate hasService P182 FINISHED
Object S2
S2 is a line of the Stuttgart S-Bahn rapid transit network serving routes that include Stuttgart Schwabstraße station.
E501209 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: S2 | Statement: [Stuttgart Schwabstraße, hasService, S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S2
Context triple: [Stuttgart Schwabstraße, hasService, S2]
  • A. S2
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • B. 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.
  • C. S2
    S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
  • D. S2
    S2 is the Indian Navy hull number assigned to INS Arihant, India’s first indigenously built nuclear-powered ballistic missile submarine.
  • E. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • 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: S2
Triple: [Stuttgart Schwabstraße, hasService, S2]
Generated description
S2 is a line of the Stuttgart S-Bahn rapid transit network serving routes that include Stuttgart Schwabstraße station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S2
Target entity description: S2 is a line of the Stuttgart S-Bahn rapid transit network serving routes that include Stuttgart Schwabstraße station.
  • A. S2 chosen
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • B. S2
    S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
  • C. S2
    S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
  • D. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • E. S2
    S2 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, connecting various cities and suburbs in the densely populated Rhine-Ruhr metropolitan region.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b57fa9c819091d12320d46a0cee completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893ae04f481908da8206dfba0b463 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894c4c8b88190b2ac594477811c7b completed May 16, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08954be2688190a51911d6922a6413 completed May 16, 2026, 4:03 p.m.
Created at: April 16, 2026, 11:34 a.m.