Triple

T17818745
Position Surface form Disambiguated ID Type / Status
Subject Eilenburg E444915 entity
Predicate hasRiverFloodRisk P12640 FINISHED
Object Mulde floods LITERAL 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: Mulde floods | Statement: [Eilenburg, hasRiverFloodRisk, Mulde floods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverFloodRisk
Context triple: [Eilenburg, hasRiverFloodRisk, Mulde floods]
  • A. hasFloodRisk chosen
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • B. hasFloodRiskRelevance
    Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
  • C. floodRiskCategory
    Indicates the level or classification of flood risk associated with an entity, such as a location or asset.
  • D. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • E. hasFloodplains
    Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:15 a.m.