Triple

T28159536
Position Surface form Disambiguated ID Type / Status
Subject Arosa E714851 entity
Predicate terminusOfRailwayLine P26272 FINISHED
Object Chur–Arosa railway line
The Chur–Arosa railway line is a scenic Swiss metre-gauge mountain railway connecting the city of Chur with the resort town of Arosa through steep gradients, tunnels, and impressive viaducts.
 E1849403 NE FINISHED

How this triple was built (3 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: Chur–Arosa railway line | Statement: [Arosa, terminusOfRailwayLine, Chur–Arosa railway line]
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: Chur–Arosa railway line
Triple: [Arosa, terminusOfRailwayLine, Chur–Arosa railway line]
Generated description
The Chur–Arosa railway line is a scenic Swiss metre-gauge mountain railway connecting the city of Chur with the resort town of Arosa through steep gradients, tunnels, and impressive viaducts.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: terminusOfRailwayLine
Context triple: [Arosa, terminusOfRailwayLine, Chur–Arosa railway line]
  • A. railwayUpperTerminus
    Indicates that a railway line or route reaches its upper (typically higher-altitude or upstream) terminal endpoint at the related location.
  • B. railLineTerminus chosen
    Indicates that a rail line ends or terminates at the specified location or station.
  • C. railroadTerminusFor
    Indicates that one location serves as the end point or final station of a particular railroad line for another location.
  • D. formerTerminalStation
    Indicates that a location once served as the end point (terminus) of a transportation line or route but no longer holds that status.
  • E. railTerminusFor
    Indicates that one location serves as the final or terminal rail station or endpoint for a specified rail line or service.
  • F. None of above.

Provenance (6 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_69efd6b156448190bfa15958208395c3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25378393d88190872b44aec56f5300 completed June 7, 2026, 9:18 a.m.
NEDg Description generation batch_6a253b7b6e1081908bb2790e3effce40 completed June 7, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a253f72bf4c8190846d42f2373f400f completed June 7, 2026, 9:52 a.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 27, 2026, 10:05 p.m.