Triple

T20466819
Position Surface form Disambiguated ID Type / Status
Subject Laufen E502072 entity
Predicate locatedOpposite P3232 FINISHED
Object Oberndorf bei Salzburg NE NERFINISHED

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: Oberndorf bei Salzburg | Statement: [Laufen, locatedOpposite, Oberndorf bei Salzburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberndorf bei Salzburg
Context triple: [Laufen, locatedOpposite, Oberndorf bei Salzburg]
  • A. Oberndorf bei Salzburg chosen
    Oberndorf bei Salzburg is a small Austrian town near Salzburg, best known as the place where the Christmas carol "Silent Night" was first performed.
  • B. Oberndorf in Tirol
    Oberndorf in Tirol is a small Austrian village in the Tyrolean Alps known for its scenic mountain setting and access to skiing and outdoor recreation.
  • C. Oberndorf am Lech
    Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
  • D. Oberndorf
    Oberndorf is a district or locality within the town of Kuppenheim in the German state of Baden-Württemberg.
  • E. Obertauern
    Obertauern is a high-altitude Austrian ski resort town renowned for its extensive slopes, reliable snow conditions, and vibrant après-ski scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.