Triple

T19197232
Position Surface form Disambiguated ID Type / Status
Subject Pongau E470002 entity
Predicate borders P224 FINISHED
Object Tennengau 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: Tennengau | Statement: [Pongau, borders, Tennengau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennengau
Context triple: [Pongau, borders, 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. Edertal
    Edertal is a rural municipality in the Waldeck-Frankenberg district of Hesse, Germany, known for its proximity to the Edersee reservoir and Kellerwald-Edersee National Park.
  • D. Treuen
    Treuen is a small town in the Vogtland region of Saxony, eastern Germany, known for its historic architecture and rural surroundings.
  • E. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a695cc8190b84a220f52c51dfc completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.