Triple

T9401931
Position Surface form Disambiguated ID Type / Status
Subject Gloucestershire College E226492 entity
Predicate hasCampusIn P4623 FINISHED
Object Forest of Dean E74551 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: Forest of Dean | Statement: [Gloucestershire College, hasCampusIn, Forest of Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest of Dean
Context triple: [Gloucestershire College, hasCampusIn, Forest of Dean]
  • A. Forest of Dean chosen
    The Forest of Dean is an ancient woodland and historic royal forest in western England, renowned for its rich wildlife, mining heritage, and scenic walking and cycling trails.
  • B. Wyre Forest
    Wyre Forest is a large ancient woodland and national nature reserve in Worcestershire, England, known for its rich biodiversity and extensive walking and cycling trails.
  • C. Thetford Forest
    Thetford Forest is a large coniferous woodland and popular outdoor recreation area in eastern England, known for its walking and cycling trails, wildlife, and forestry.
  • D. Trawden Forest
    Trawden Forest is a rural civil parish and village area in Lancashire, England, known for its moorland landscapes and location within the Borough of Pendle.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51be35cc8190bafad423a142c305 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012ca6c0819098c427233d226dd2 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.