Triple

T9173775
Position Surface form Disambiguated ID Type / Status
Subject Kronberg im Taunus E220143 entity
Predicate servedBy P82 FINISHED
Object S-Bahn Rhein-Main E297618 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: S-Bahn Rhein-Main | Statement: [Kronberg im Taunus, servedBy, S-Bahn Rhein-Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn Rhein-Main
Context triple: [Kronberg im Taunus, servedBy, S-Bahn Rhein-Main]
  • A. Rhine-Main S-Bahn chosen
    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.
  • B. 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.
  • C. S-Bahn Nuremberg
    S-Bahn Nuremberg is a regional suburban rail network serving Nuremberg and its surrounding metropolitan area in Bavaria, Germany.
  • D. S-Bahn
    The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
  • E. Frankfurt U-Bahn
    The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054a36ef881908079558050c67e7c completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.