Triple

T5099627
Position Surface form Disambiguated ID Type / Status
Subject RE E114950 entity
Predicate distinguishedFrom P1612 FINISHED
Object RB (Regionalbahn) E139350 NE FINISHED

How this triple was built (2 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: RB (Regionalbahn) | Statement: [RE, distinguishedFrom, RB (Regionalbahn)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RB (Regionalbahn)
Context triple: [RE, distinguishedFrom, RB (Regionalbahn)]
  • A. Rhine-Ruhr S-Bahn
    The Rhine-Ruhr S-Bahn is a regional rapid transit network serving the densely populated Rhine-Ruhr metropolitan area in western Germany, connecting major cities such as Duisburg, Düsseldorf, Essen, and Dortmund.
  • B. S-Bahn
    The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
  • C. Regionalbahn chosen
    Regionalbahn is a category of German regional train service that provides relatively frequent, short- to medium-distance connections between local towns and cities.
  • D. Rhine-Main S-Bahn
    The Rhine-Main S-Bahn is a suburban rapid transit network serving the Frankfurt Rhine-Main metropolitan region in Germany, connecting Frankfurt with its surrounding cities and suburbs.
  • E. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7568e9c881909f114973faef6832 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8977f481908b0d55a9cd28d492 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.