Triple

T6869109
Position Surface form Disambiguated ID Type / Status
Subject Flachgau E158492 entity
Predicate hasCapital P204 FINISHED
Object Seekirchen am Wallersee E511193 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: Seekirchen am Wallersee | Statement: [Flachgau, hasCapital, Seekirchen am Wallersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seekirchen am Wallersee
Context triple: [Flachgau, hasCapital, Seekirchen am Wallersee]
  • A. Seekirchen am Wallersee chosen
    Seekirchen am Wallersee is a small Austrian town in the state of Salzburg, known for its lakeside location on the Wallersee and its role as a local administrative and residential center.
  • B. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • C. Schwechat
    Schwechat is an Austrian town just southeast of Vienna, best known as the site of Vienna International Airport and a major hub for industry and transport.
  • D. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c0689081908d37d1530ed0f6a0 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.