Triple

T11801358
Position Surface form Disambiguated ID Type / Status
Subject Albstadt-Ebingen station E280632 entity
Predicate locatedIn P40 FINISHED
Object Ebingen E280632 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: Ebingen | Statement: [Albstadt-Ebingen station, locatedIn, Ebingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebingen
Context triple: [Albstadt-Ebingen station, locatedIn, Ebingen]
  • A. Ebingen chosen
    Ebingen is a district of Albstadt in the Swabian Jura region of Baden-Württemberg, Germany, historically known as an independent town and the birthplace of former German Chancellor Kurt Georg Kiesinger.
  • B. Hechingen
    Hechingen is a historic town in the German state of Baden-Württemberg, known for its proximity to Hohenzollern Castle and its role as a former seat of the Hohenzollern dynasty.
  • C. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • D. Buhlbronn
    Buhlbronn is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
  • E. Furtwangen
    Furtwangen is a small town in Germany’s Black Forest region, historically known for its clockmaking industry and home to the Furtwangen University of Applied Sciences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6af3b91288190ab2df6103bfa5a91 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:42 p.m.