Triple

T759791
Position Surface form Disambiguated ID Type / Status
Subject Lyne Burn gorge E16040 entity
Predicate geomorphologicalProcess P18790 FINISHED
Object stream incision 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: stream incision | Statement: [Lyne Burn gorge, geomorphologicalProcess, stream incision]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geomorphologicalProcess
Context triple: [Lyne Burn gorge, geomorphologicalProcess, stream incision]
  • A. geomorphology
    Indicates the study or characterization of landforms and the processes that shape the Earth's surface.
  • B. causesGeologicalProcess
    Indicates that one entity brings about, initiates, or is responsible for a geological process occurring in another or in the environment.
  • C. hydrologicalProcess
    Indicates a relationship where an entity participates in, is affected by, or is otherwise involved in the movement, distribution, or transformation of water within the hydrological cycle.
  • D. geologicalFormation
    Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
  • E. geologicalRole
    Indicates the functional or classificatory role an entity plays within geological processes, structures, or contexts.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a68158508190998da10e69252662 completed March 1, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69a4a5048a8081908d0542214142664a completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a58c0a84819094f07658dc651b36 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.