Triple

T5338298
Position Surface form Disambiguated ID Type / Status
Subject Salzburg Airport E123878 entity
Predicate nearbyCity P350 FINISHED
Object Wals-Siezenheim E527695 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: Wals-Siezenheim | Statement: [Salzburg Airport, nearbyCity, Wals-Siezenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wals-Siezenheim
Context triple: [Salzburg Airport, nearbyCity, Wals-Siezenheim]
  • A. Wals-Siezenheim chosen
    Wals-Siezenheim is a municipality in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and for hosting the Red Bull Arena football stadium.
  • B. Erding
    Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
  • C. Forchheim
    Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
  • D. Lauingen
    Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
  • E. Kulmbach
    Kulmbach is a historic Bavarian town in northern Germany renowned for its beer brewing tradition and its hilltop Plassenburg Castle.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c6ec008190ad7a8a54360387d8 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bffc1b472c819087590fe2b8713ded completed March 22, 2026, 2:26 p.m.
Created at: March 20, 2026, 2 p.m.