Triple

T20434243
Position Surface form Disambiguated ID Type / Status
Subject S2 (Stuttgart S-Bahn) E501209 entity
Predicate symbol P129 FINISHED
Object S2
S2 is a line of the Stuttgart S-Bahn rapid transit network serving the Stuttgart metropolitan area in Germany.
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: [S2 (Stuttgart S-Bahn), symbol, S2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S2
Context triple: [S2 (Stuttgart S-Bahn), symbol, S2]
  • A. S2
    S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
  • B. S2
    S2 is the Indian Navy hull number assigned to INS Arihant, India’s first indigenously built nuclear-powered ballistic missile submarine.
  • C. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • D. 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.
  • E. 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.
  • 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: [S2 (Stuttgart S-Bahn), symbol, S2]
Generated description
S2 is a line of the Stuttgart S-Bahn rapid transit network serving the Stuttgart metropolitan area in Germany.
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 the Stuttgart metropolitan area in Germany.
  • 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 commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, connecting various cities and suburbs in the densely populated Rhine-Ruhr metropolitan region.
  • 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.

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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ecf7ac81908e9c2ef4348fb281 completed April 20, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883f6c80c81908b47bf320d2e9aab completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08866d577881908044203520bd408d completed May 16, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08876f09048190aad39c5d6d16ce6e completed May 16, 2026, 3:04 p.m.
Created at: April 16, 2026, 11:31 a.m.