Triple

T27763723
Position Surface form Disambiguated ID Type / Status
Subject Fideris E701543 entity
Predicate railwayServiceAt P154206 FINISHED
Object Fideris railway station
Fideris railway station is a small regional train stop in the Swiss village of Fideris, providing local rail connections within the canton of Graubünden.
 E1790207 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: Fideris railway station | Statement: [Fideris, railwayServiceAt, Fideris railway station]
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: Fideris railway station
Triple: [Fideris, railwayServiceAt, Fideris railway station]
Generated description
Fideris railway station is a small regional train stop in the Swiss village of Fideris, providing local rail connections within the canton of Graubünden.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: railwayServiceAt
Context triple: [Fideris, railwayServiceAt, Fideris railway station]
  • A. hasRailServiceAt chosen
    Indicates that a rail transport service operates at or serves a particular location or facility.
  • B. railServicesTo
    Indicates that rail transportation services operate from one location to another specified destination.
  • C. railwayTypeServed
    Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
  • D. railServiceType
    Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
  • E. isRailServiceOf
    Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6978fe97081908fe568091ad9b159 completed May 3, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecb34ae081909234f568f91bd1ae completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12f0d3217c819082e4210de9b042f1 completed May 24, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_6a12f202724481909acd0b6d31be8367 completed May 24, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69f69661e6ec8190948251c7516a32ad completed May 3, 2026, 12:27 a.m.
Created at: April 27, 2026, 4:29 p.m.