Triple

T4790022
Position Surface form Disambiguated ID Type / Status
Subject State of Salzburg E106577 entity
Predicate administrativeDivision P747 FINISHED
Object Tennengau E451553 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: Tennengau | Statement: [State of Salzburg, administrativeDivision, Tennengau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennengau
Context triple: [State of Salzburg, administrativeDivision, Tennengau]
  • A. Tennengau chosen
    Tennengau is a district in the Austrian state of Salzburg known for its alpine landscapes, historic salt mining heritage, and proximity to the city of Salzburg.
  • B. Kraichgau
    Kraichgau is a hilly, fertile region in southwestern Germany known for its agriculture, vineyards, and picturesque landscapes between the Black Forest and the Odenwald.
  • C. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • D. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • E. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.