Triple

T18880188
Position Surface form Disambiguated ID Type / Status
Subject Haydn House E461804 entity
Predicate operatedBy P86 FINISHED
Object Land Burgenland 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: Land Burgenland | Statement: [Haydn House, operatedBy, Land Burgenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land Burgenland
Context triple: [Haydn House, operatedBy, Land Burgenland]
  • A. Burgenland chosen
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • B. Wittgensteiner Land
    Wittgensteiner Land is a hilly, forested cultural and historical region in the German state of North Rhine-Westphalia, known for its rural landscapes and traditional villages.
  • C. Land Oberösterreich
    Land Oberösterreich is the German name for the federal state of Upper Austria, a regional state of the Republic of Austria with its capital in Linz.
  • D. County of Tyrol
    The County of Tyrol was a historic principality in the eastern Alps that became a key territory of the Habsburg Monarchy, encompassing regions of present-day Austria and Italy.
  • E. Styria
    Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d133f08190a482e601c1866662 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.