Triple

T25545082
Position Surface form Disambiguated ID Type / Status
Subject Zandmotor E640275 entity
Predicate coastalManagementStrategy P41538 FINISHED
Object soft engineering 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: soft engineering | Statement: [Zandmotor, coastalManagementStrategy, soft engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coastalManagementStrategy
Context triple: [Zandmotor, coastalManagementStrategy, soft engineering]
  • A. hasCoastManagement
    Indicates that an entity is responsible for or involved in the management, regulation, or oversight of coastal areas or coastal resources in relation to another entity or region.
  • B. coastalProtection chosen
    Indicates measures or actions taken to preserve, defend, or stabilize coastal areas against erosion, flooding, or other marine-related impacts.
  • C. coastalInteraction
    Indicates an interaction or relationship occurring between entities and a coastal environment, such as along shorelines or near the sea.
  • D. hasCoastalProtectionConcern
    Indicates that an entity has an issue, risk, or consideration related to protecting coastal areas from environmental or human impacts.
  • E. shorelineDevelopment
    Indicates the extent to which human-made structures or modifications have been built along a shoreline.
  • 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_69e75dbfff7081909b0aa779d48321d2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f896f04c81908294db99385b464e completed May 2, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69f480789be08190ab252a6de3797200 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 3:28 p.m.