Triple

T170623
Position Surface form Disambiguated ID Type / Status
Subject Székesfehérvár E3113 entity
Predicate historicalRegion P915 FINISHED
Object Transdanubia E21827 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: Transdanubia | Statement: [Székesfehérvár, historicalRegion, Transdanubia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transdanubia
Context triple: [Székesfehérvár, historicalRegion, Transdanubia]
  • A. Central Transdanubia chosen
    Central Transdanubia is a region in western Hungary that includes historic cities such as Székesfehérvár and lies between the Danube River and Lake Balaton.
  • B. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • C. Hungary
    Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
  • D. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • E. Austria
    Austria is a landlocked Central European country known for its Alpine landscapes, rich cultural and musical heritage, and status as a prosperous, democratic member of the European Union.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b82bdc81908ebd50fb05d511df completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3795173e88190afe87259edd4f275 completed Feb. 28, 2026, 11:25 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.