Triple

T8386176
Position Surface form Disambiguated ID Type / Status
Subject Huns E197823 entity
Predicate coreTerritory P1103 FINISHED
Object Hungarian Plain E566015 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: Hungarian Plain | Statement: [Huns, coreTerritory, Hungarian Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian Plain
Context triple: [Huns, coreTerritory, Hungarian Plain]
  • A. Great Hungarian Plain chosen
    The Great Hungarian Plain is a vast lowland region in eastern and southern Hungary known for its flat landscapes, agriculture, and traditional rural culture.
  • B. Pannonian Plain
    The Pannonian Plain is a large, fertile lowland region in Central and Eastern Europe, spanning parts of countries such as Hungary, Serbia, Croatia, and Romania.
  • C. Danubian Plain
    The Danubian Plain is a fertile lowland region in northern Bulgaria, stretching along the southern bank of the Danube River and forming one of the country’s main agricultural areas.
  • D. Little Hungarian Plain
    The Little Hungarian Plain is a low-lying agricultural region in northwestern Hungary known for its fertile soils and flat landscape.
  • E. Wallachian Plain
    The Wallachian Plain is a large fertile lowland region in southern Romania, known for its extensive agriculture and industrial development.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80e1bcdc81909111aa33ee996e0a completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02cb3a1481908d30993d47c70039 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:02 p.m.