Triple

T844628
Position Surface form Disambiguated ID Type / Status
Subject Operation Spring Awakening E18250 entity
Predicate location P40 FINISHED
Object Lake Balaton region E31666 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: Lake Balaton region | Statement: [Operation Spring Awakening, location, Lake Balaton region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Balaton region
Context triple: [Operation Spring Awakening, location, Lake Balaton region]
  • A. Lake Balaton chosen
    Lake Balaton is a major Central European freshwater lake in western Hungary, renowned as a popular tourist and recreation destination.
  • B. Central Transdanubia
    Central Transdanubia is a region in western Hungary that includes historic cities such as Székesfehérvár and lies between the Danube River and Lake Balaton.
  • C. Taunus region
    The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
  • D. Western Transdanubia
    Western Transdanubia is a region in western Hungary known for its shared border with Austria, diverse landscapes, and historical towns.
  • E. southern Pannonian Plain
    The southern Pannonian Plain is a low-lying, fertile region in Central and Southeastern Europe, encompassing parts of countries such as Hungary, Serbia, and Croatia, known for its extensive agricultural lands and steppe-like landscapes.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929c8c9c8190a0279f347ab64765 completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:38 p.m.