Triple

T34859150
Position Surface form Disambiguated ID Type / Status
Subject Tübingen Hauptbahnhof E1004815 entity
Predicate railwayLine P848 FINISHED
Object Tübingen–Herrenberg railway
The Tübingen–Herrenberg railway is a regional rail line in the German state of Baden-Württemberg that connects the university city of Tübingen with the town of Herrenberg, forming part of the local commuter and regional transport network.
E2122041 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: Tübingen–Herrenberg railway | Statement: [Tübingen Hauptbahnhof, railwayLine, Tübingen–Herrenberg railway]
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: Tübingen–Herrenberg railway
Triple: [Tübingen Hauptbahnhof, railwayLine, Tübingen–Herrenberg railway]
Generated description
The Tübingen–Herrenberg railway is a regional rail line in the German state of Baden-Württemberg that connects the university city of Tübingen with the town of Herrenberg, forming part of the local commuter and regional transport 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7816425d08190990f80b96b01bc66 completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bcffef8c8190b4be35466942434b completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bdbfc9cc819084ddf81c6fd956a7 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37beb8486881909007ce128028e7fd completed June 21, 2026, 10:36 a.m.
Created at: May 3, 2026, 4 p.m.