Triple

T11744064
Position Surface form Disambiguated ID Type / Status
Subject Aargau E279228 entity
Predicate capital P234 FINISHED
Object Aarau E99980 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: Aarau | Statement: [Aargau, capital, Aarau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarau
Context triple: [Aargau, capital, Aarau]
  • A. Aarau chosen
    Aarau is a historic Swiss town and the capital of the canton of Aargau, known for its well-preserved old town and location near the Aare River.
  • B. Aarau District
    Aarau District is an administrative district in northern Switzerland centered on the town of Aarau, serving as part of the Canton of Aargau’s local government structure.
  • C. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • D. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • E. Lauterach
    Lauterach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz near the Rhine Valley.
  • 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_69f280d8f604819095823c3650adbad7 completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:41 p.m.