Triple

T32970272
Position Surface form Disambiguated ID Type / Status
Subject Aalen railway station E843493 entity
Predicate isInRailwayDivision P1921 FINISHED
Object DB Netz Region Südwest
DB Netz Region Südwest is a regional division of the German railway infrastructure company DB Netz responsible for managing and maintaining the rail network in the southwestern part of Germany.
E2029933 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: DB Netz Region Südwest | Statement: [Aalen railway station, isInRailwayDivision, DB Netz Region Südwest]
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: DB Netz Region Südwest
Triple: [Aalen railway station, isInRailwayDivision, DB Netz Region Südwest]
Generated description
DB Netz Region Südwest is a regional division of the German railway infrastructure company DB Netz responsible for managing and maintaining the rail network in the southwestern part of Germany.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInRailwayDivision
Context triple: [Aalen railway station, isInRailwayDivision, DB Netz Region Südwest]
  • A. railwayDivision chosen
    Indicates that one administrative railway division is responsible for, manages, or encompasses another railway unit, line, or area within a rail network.
  • B. railwayDivisionHeadquartersOf
    Indicates that one location serves as the administrative headquarters for a specified railway division.
  • C. isRailwayIn
    Indicates that a railway is located within or passes through a specified geographic or administrative area.
  • D. hasRailwayZone
    Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
  • E. isOnRailway
    Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
  • 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1a81e348190a37ae574e7174449 completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d28281648190a58d36fe66133a57 completed June 19, 2026, 5:24 a.m.
NEDg Description generation batch_6a34d35803148190815cb96805ce4ba0 completed June 19, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34d423fc108190aeb3f93fbabdf591 completed June 19, 2026, 5:31 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:21 a.m.