Triple

T22259082
Position Surface form Disambiguated ID Type / Status
Subject M27 E550170 entity
Predicate connectsTo P845 FINISHED
Object New Forest NE NERFINISHED

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: New Forest | Statement: [M27, connectsTo, New Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Forest
Context triple: [M27, connectsTo, New Forest]
  • A. New Forest National Park chosen
    New Forest National Park is a protected area in southern England renowned for its ancient woodlands, open heathlands, and free-roaming ponies.
  • B. 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.
  • C. New Forest district
    New Forest district is a local government district in Hampshire, England, encompassing much of the historic New Forest area and parts of the surrounding coastline and settlements.
  • D. Savernake Forest
    Savernake Forest is an ancient woodland in Wiltshire, England, renowned for its historic oak trees and long-standing association with English royalty.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.