Triple

T16711158
Position Surface form Disambiguated ID Type / Status
Subject Holderness E406108 entity
Predicate coastalErosionRate P113629 FINISHED
Object among highest in Europe 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: among highest in Europe | Statement: [Holderness, coastalErosionRate, among highest in Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coastalErosionRate
Context triple: [Holderness, coastalErosionRate, among highest in Europe]
  • A. erosionRate chosen
    Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
  • B. coastalProtection
    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. cliffStability
    Indicates the degree to which a cliff is structurally secure and resistant to collapse or erosion under current conditions.
  • E. erosionAgent
    Indicates the natural force or process responsible for wearing away, transporting, or reshaping material from a surface.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386523fc08190a13a4232af191992 completed April 18, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.