Triple

T19869874

Position	Surface form	Disambiguated ID	Type / Status
Subject	Black Forest Railway (Schwarzwaldbahn)	`E477483`	entity
Predicate	hasScenicSection	`P3625`	FINISHED
Object	Hausach–Sankt Georgen section The Hausach–Sankt Georgen section is a particularly scenic and technically notable stretch of Germany’s Black Forest Railway, known for its dramatic gradients, tunnels, and views through the central Black Forest.	`E1400423`	NE FINISHED

How this triple was built (4 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: Hausach–Sankt Georgen section | Statement: [Black Forest Railway (Schwarzwaldbahn), hasScenicSection, Hausach–Sankt Georgen section]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Hausach–Sankt Georgen section
Context triple: [Black Forest Railway (Schwarzwaldbahn), hasScenicSection, Hausach–Sankt Georgen section]

A. Landsberg am Lech–Schongau railway
The Landsberg am Lech–Schongau railway is a regional rail line in Bavaria, Germany, connecting the towns of Landsberg am Lech and Schongau through the scenic Lech valley.
B. Aulendorf–Kißlegg railway
The Aulendorf–Kißlegg railway is a regional rail line in the German state of Baden-Württemberg that connects the town of Aulendorf with Kißlegg, serving intermediate communities such as Bad Waldsee.
C. Fehring–Jennersdorf railway
The Fehring–Jennersdorf railway is a regional rail line in southeastern Austria that connects the towns of Fehring and Jennersdorf within the state of Styria and Burgenland.
D. Passau–Neumarkt-Sankt Veit railway
The Passau–Neumarkt-Sankt Veit railway is a regional rail line in southeastern Bavaria, Germany, connecting the city of Passau with Neumarkt-Sankt Veit and serving several towns along the Rott and Inn river valleys.
E. Rosenheim–Mühldorf railway
The Rosenheim–Mühldorf railway is a regional rail line in Bavaria, Germany, connecting the town of Rosenheim with Mühldorf am Inn and serving as part of the area's local and freight transport network.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: Hausach–Sankt Georgen section
Triple: [Black Forest Railway (Schwarzwaldbahn), hasScenicSection, Hausach–Sankt Georgen section]

Generated description

The Hausach–Sankt Georgen section is a particularly scenic and technically notable stretch of Germany’s Black Forest Railway, known for its dramatic gradients, tunnels, and views through the central Black Forest.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Hausach–Sankt Georgen section
Target entity description: The Hausach–Sankt Georgen section is a particularly scenic and technically notable stretch of Germany’s Black Forest Railway, known for its dramatic gradients, tunnels, and views through the central Black Forest.

A. Landsberg am Lech–Schongau railway
The Landsberg am Lech–Schongau railway is a regional rail line in Bavaria, Germany, connecting the towns of Landsberg am Lech and Schongau through the scenic Lech valley.
B. Aulendorf–Kißlegg railway
The Aulendorf–Kißlegg railway is a regional rail line in the German state of Baden-Württemberg that connects the town of Aulendorf with Kißlegg, serving intermediate communities such as Bad Waldsee.
C. Fehring–Jennersdorf railway
The Fehring–Jennersdorf railway is a regional rail line in southeastern Austria that connects the towns of Fehring and Jennersdorf within the state of Styria and Burgenland.
D. Passau–Neumarkt-Sankt Veit railway
The Passau–Neumarkt-Sankt Veit railway is a regional rail line in southeastern Bavaria, Germany, connecting the city of Passau with Neumarkt-Sankt Veit and serving several towns along the Rott and Inn river valleys.
E. Rosenheim–Mühldorf railway
The Rosenheim–Mühldorf railway is a regional rail line in Bavaria, Germany, connecting the town of Rosenheim with Mühldorf am Inn and serving as part of the area's local and freight transport network.
F. None of above. chosen

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_69d8e51e7d948190aedbcd6c30361c39`	completed	April 10, 2026, 11:55 a.m.
NER	Named-entity recognition	`batch_69e658a2cc8481908d134b0b5cf79d06`	completed	April 20, 2026, 4:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a07dbc283388190abe25a678c1671ed`	completed	May 16, 2026, 2:51 a.m.
NEDg	Description generation	`batch_6a07dc57696081908475464010ae707b`	completed	May 16, 2026, 2:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a07dcd440b88190b9f44d16f4e06291`	completed	May 16, 2026, 2:56 a.m.

Created at: April 10, 2026, 1:51 p.m.