Triple

T8892316
Position Surface form Disambiguated ID Type / Status
Subject Marlborough E211708 entity
Predicate near P350 FINISHED
Object Savernake Forest E707595 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: Savernake Forest | Statement: [Marlborough, near, Savernake Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savernake Forest
Context triple: [Marlborough, near, Savernake Forest]
  • A. Savernake Forest chosen
    Savernake Forest is an ancient woodland in Wiltshire, England, renowned for its historic oak trees and long-standing association with English royalty.
  • B. Paimpont Forest
    Paimpont Forest is a woodland area in Brittany, France, renowned for its association with Arthurian legend and often identified as the real-world counterpart of the mythical Brocéliande.
  • C. 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.
  • D. 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.
  • E. Cannock Chase Forest
    Cannock Chase Forest is a large mixed woodland and recreational area in Staffordshire, England, known for its walking and cycling trails, wildlife, and outdoor leisure activities.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bb46c881909e579bb1926e5204 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf795b08190bb4c45d6ede3b8b4 completed April 3, 2026, noon
Created at: March 30, 2026, 6:54 p.m.