Triple

T983213
Position Surface form Disambiguated ID Type / Status
Subject Gaja stream E21217 entity
Predicate locatedInRegion P40 FINISHED
Object Central 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: Central Transdanubia | Statement: [Gaja stream, locatedInRegion, Central Transdanubia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Transdanubia
Context triple: [Gaja stream, locatedInRegion, Central 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. Western Transdanubia
    Western Transdanubia is a region in western Hungary known for its shared border with Austria, diverse landscapes, and historical towns.
  • C. Transdanubia
    Transdanubia is the western region of Hungary lying beyond the Danube River, known for its varied landscapes, historic towns, and role as a major World War II battleground.
  • D. Burgenland
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • 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 (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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b493f5dc819090d239c2f7e083de completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258909a88190b597a72cd6c0fa87 completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.