Triple

T19991261
Position Surface form Disambiguated ID Type / Status
Subject Regional Museum Maribor E494069 entity
Predicate locatedIn P40 FINISHED
Object Styria region 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: Styria region | Statement: [Regional Museum Maribor, locatedIn, Styria region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Styria region
Context triple: [Regional Museum Maribor, locatedIn, Styria region]
  • A. Styria
    Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
  • B. Slovenian Styria chosen
    Slovenian Styria is a historical and geographical region in northeastern Slovenia known for its wine-growing hills, cultural ties to the former Duchy of Styria, and the regional center of Maribor.
  • C. Burgenland
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • D. Lower Styria
    Lower Styria is a traditional region in northeastern Slovenia known for its historic towns, wine-growing hills, and cultural ties to the broader Styrian area.
  • E. Carinthia
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe00b908190bda6b9a3a3281ec0 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.