Triple

T28070103
Position Surface form Disambiguated ID Type / Status
Subject Rolandseck railway station E709370 entity
Predicate railwayLine P848 FINISHED
Object Cologne–Mainz route
The Cologne–Mainz route is a major railway corridor in western Germany that runs along the Rhine River, connecting the cities of Cologne and Mainz and serving numerous intermediate towns and regional services.
 E1802214 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: Cologne–Mainz route | Statement: [Rolandseck railway station, railwayLine, Cologne–Mainz route]
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: Cologne–Mainz route
Triple: [Rolandseck railway station, railwayLine, Cologne–Mainz route]
Generated description
The Cologne–Mainz route is a major railway corridor in western Germany that runs along the Rhine River, connecting the cities of Cologne and Mainz and serving numerous intermediate towns and regional services.

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_69ef9b6f8078819098b741274cd1a2ee completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6401f19f481909e5e0ea3b2269bbe completed May 2, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c90ea4388190ae2a564e8f71facf completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15ca6352088190896197841a36baa7 completed May 26, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a15ccdad0d0819093ee0e177574c96d completed May 26, 2026, 4:39 p.m.
Created at: April 27, 2026, 8:45 p.m.