Triple

T14977641
Position Surface form Disambiguated ID Type / Status
Subject Salzkammergut E373492 entity
Predicate contains P35 FINISHED
Object Strobl E947284 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: Strobl | Statement: [Salzkammergut, contains, Strobl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strobl
Context triple: [Salzkammergut, contains, Strobl]
  • A. Strobl chosen
    Strobl is a picturesque Austrian lakeside town in the Salzkammergut region, known for its scenic setting on the shores of Wolfgangsee and its popular holiday and outdoor recreation opportunities.
  • B. Lustenau
    Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
  • C. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • D. 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.
  • E. Wörgl
    Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0652dc8190a90a1c3b07a6ed94 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:51 a.m.