Triple

T11703782
Position Surface form Disambiguated ID Type / Status
Subject Žitný ostrov E278189 entity
Predicate partOf P40 FINISHED
Object Podunajská nížina E857581 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: Podunajská nížina | Statement: [Žitný ostrov, partOf, Podunajská nížina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podunajská nížina
Context triple: [Žitný ostrov, partOf, Podunajská nížina]
  • A. Leszno Plateau
    Leszno Plateau is a geographical upland region in west-central Poland that forms the natural landscape setting around the city of Leszno.
  • B. Podunajsko chosen
    Podunajsko is a lowland subregion of western Slovakia known for its fertile agricultural land along the Danube River.
  • C. Eastern Slovak Lowland
    The Eastern Slovak Lowland is a flat, agriculturally rich region in eastern Slovakia forming part of the broader Pannonian Plain.
  • D. Moravian plateau
    The Moravian Plateau is a highland region in the eastern Czech Republic characterized by gently rolling terrain and strategic elevations that have historically influenced trade routes and military campaigns.
  • E. Silesian Lowlands
    The Silesian Lowlands are a broad lowland region in southwestern Poland characterized by fertile plains, significant urban and industrial areas, and a long history of settlement and cultural 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0195739348190b40a378ca227cf85 completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.