Triple

T10429285
Position Surface form Disambiguated ID Type / Status
Subject Råde E245865 entity
Predicate hasForestry P41063 FINISHED
Object yes 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: yes | Statement: [Råde, hasForestry, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForestry
Context triple: [Råde, hasForestry, yes]
  • A. hasForestType
    Indicates that an area or location is characterized by a specific type or classification of forest.
  • B. isForested
    Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
  • C. forestryActivity chosen
    Indicates activities related to the management, use, or cultivation of forest resources, such as logging, planting, or forest maintenance.
  • D. hasTrees
    Indicates that something possesses or contains one or more trees.
  • E. hasMajorForest
    Indicates that an entity possesses or contains a large, significant forested area.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:13 p.m.