Triple

T4164336
Position Surface form Disambiguated ID Type / Status
Subject Symonds Yat Rock E84405 entity
Predicate managedBy P86 FINISHED
Object Forestry England E150252 NE 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: Forestry England | Statement: [Symonds Yat Rock, managedBy, Forestry England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forestry England
Context triple: [Symonds Yat Rock, managedBy, Forestry England]
  • A. Forestry Commission chosen
    The Forestry Commission is a UK government department responsible for protecting, expanding, and promoting the sustainable management of forests and woodlands.
  • B. New Forest District Council
    New Forest District Council is the local government authority responsible for providing municipal services and administration across the New Forest district in Hampshire, England.
  • C. John Muir Trust
    John Muir Trust is a UK-based conservation charity dedicated to protecting and managing wild land and mountain landscapes in Scotland and beyond.
  • D. Committee on Forestry
    The Committee on Forestry is a key intergovernmental body within the Food and Agriculture Organization that guides global policy and cooperation on sustainable forest management and related issues.
  • E. Dunn Forest
    Dunn Forest is a component of Oregon State University's McDonald-Dunn Research Forest, used primarily for forestry research, education, and sustainable land management.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ab00d48190acf3b041fca56be3 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f478c948190a997e006015e588d completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.