Triple

T12446915
Position Surface form Disambiguated ID Type / Status
Subject Leineaue E297423 entity
Predicate environmentalFunction P13098 FINISHED
Object flood retention 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 retention | Statement: [Leineaue, environmentalFunction, flood retention]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalFunction
Context triple: [Leineaue, environmentalFunction, flood retention]
  • A. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • B. environmentalSignificance chosen
    Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
  • C. environmentalMeasure
    Indicates that an action, policy, or condition serves to protect, preserve, or improve the natural environment or its resources.
  • D. environmentalFactor
    Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
  • E. environmentalProgram
    Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95151e7348190a1d4953a8b416a13 completed April 10, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69d94d3c27a08190a0237200203e476d completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.