Triple

T5172498
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Styria E116716 entity
Predicate significantCity P12871 FINISHED
Object Maribor E114358 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: Maribor | Statement: [Duchy of Styria, significantCity, Maribor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maribor
Context triple: [Duchy of Styria, significantCity, Maribor]
  • A. Maribor chosen
    Maribor is Slovenia’s second-largest city, known for its historic old town, wine culture, and the world’s oldest grapevine.
  • B. Ljubljana
    Ljubljana is the capital and largest city of Slovenia, known for its picturesque old town, Baroque and Art Nouveau architecture, and vibrant cultural scene along the Ljubljanica River.
  • C. Velenje
    Velenje is a modern industrial town in northern Slovenia known for its coal mining heritage, large lakeside recreational area, and one of the largest Tito statues in the world.
  • D. Portorož
    Portorož is a popular Slovenian seaside resort town on the Adriatic coast, known for its beaches, spa tourism, and vibrant holiday atmosphere.
  • E. Novo Mesto, Slovenia
    Novo Mesto is a historic town in southeastern Slovenia known for its cultural heritage and picturesque setting on the Krka River.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd795252a481908634779f3f656574 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9471b4881909c8436853818a8a0 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.