Triple

T35220247
Position Surface form Disambiguated ID Type / Status
Subject Braunsbach E1016930 entity
Predicate hasReliefMeasure P206883 FINISHED
Object flood protection measures after 2016 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: flood protection measures after 2016 | Statement: [Braunsbach, hasReliefMeasure, flood protection measures after 2016]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReliefMeasure
Context triple: [Braunsbach, hasReliefMeasure, flood protection measures after 2016]
  • A. hasReliefOf
    Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
  • B. hasRelief
    Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
  • C. hasReliefsFrom
    Indicates that one entity experiences a reduction or alleviation of symptoms, problems, or burdens as a result of another entity.
  • D. hasSignificantRelief
    Indicates that one entity exhibits notable variation in height or depth across its surface or structure relative to another reference or standard.
  • E. hasReliefFeature
    Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
  • F. None of above. chosen

Provenance (4 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_69f76de072908190ab65038a8a7b6a79 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a016960819093ed4990fb4d9d36 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82179081908325a59b8539b3a8 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:02 p.m.