Triple

T2898121
Position Surface form Disambiguated ID Type / Status
Subject Aare E62590 entity
Predicate flowsThrough P225 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: [Aare, flowsThrough, Aarau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarau
Context triple: [Aare, flowsThrough, 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. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • C. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • D. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • E. Arlon
    Arlon is a historic town in southeastern Belgium that serves as the capital of the province of Luxembourg in the Walloon 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe08fe3248190a6bb7de2a2c317b1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03188d84081909e23b46c2f75250b completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:10 p.m.