Triple

T37257386
Position Surface form Disambiguated ID Type / Status
Subject Brugg AG railway station E924167 entity
Predicate isJunctionOn P6309 FINISHED
Object Brugg–Hendschiken railway line
The Brugg–Hendschiken railway line is a standard-gauge Swiss railway route in the canton of Aargau that connects the town of Brugg with Hendschiken and forms part of the regional passenger and freight network.
E2222619 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: Brugg–Hendschiken railway line | Statement: [Brugg AG railway station, isJunctionOn, Brugg–Hendschiken 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: Brugg–Hendschiken railway line
Triple: [Brugg AG railway station, isJunctionOn, Brugg–Hendschiken railway line]
Generated description
The Brugg–Hendschiken railway line is a standard-gauge Swiss railway route in the canton of Aargau that connects the town of Brugg with Hendschiken and forms part of the regional passenger and freight network.

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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb372ca958819085de43635807ffba completed May 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4063816bd88190b3cf95b0d3d833a4 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a40651199688190885c70a183f42565 completed June 28, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a4065d22b248190aa130d1b096d6a60 completed June 28, 2026, 12:07 a.m.
Created at: May 3, 2026, 4:15 p.m.