Triple

T11744083
Position Surface form Disambiguated ID Type / Status
Subject Aargau E279228 entity
Predicate contains P35 FINISHED
Object Rheinfelden E440023 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: Rheinfelden | Statement: [Aargau, contains, Rheinfelden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rheinfelden
Context triple: [Aargau, contains, Rheinfelden]
  • A. Rheinfelden (Aargau) chosen
    Rheinfelden (Aargau) is a historic Swiss town on the Rhine in the canton of Aargau, known as one of the country’s oldest Zähringer-founded cities and a former Habsburg stronghold.
  • B. Riehe
    Riehe is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Innerste.
  • C. Rheinsfelden
    Rheinsfelden is a locality in the canton of Zurich, Switzerland, situated near the confluence of the Glatt River with the Rhine.
  • D. Rheinfelden (Baden)
    Rheinfelden (Baden) is a German town in the state of Baden-Württemberg, located on the Rhine near the Swiss border opposite the Swiss town of Rheinfelden.
  • E. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a527dc08190a3ce08ddedaa5753 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:41 p.m.