Triple

T20986401
Position Surface form Disambiguated ID Type / Status
Subject 's-Hertogenbosch E516901 entity
Predicate namedAfter P63 FINISHED
Object Duke’s 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: Duke’s forest | Statement: ['s-Hertogenbosch, namedAfter, Duke’s forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke’s forest
Context triple: ['s-Hertogenbosch, namedAfter, Duke’s forest]
  • A. 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.
  • B. Kowen Forest
    Kowen Forest is a large pine plantation and recreational forest area east of Canberra in the Australian Capital Territory, popular for activities such as mountain biking, trail running, and orienteering.
  • C. Hurtwood Forest
    Hurtwood Forest is a large area of mixed woodland and heathland in the Surrey Hills of England, popular for walking, cycling, and outdoor recreation.
  • D. Hixon Forest
    Hixon Forest is a wooded nature preserve and trail system in La Crosse, Wisconsin, popular for hiking, scenic overlooks, and outdoor recreation.
  • E. Duke Forest chosen
    Duke Forest is a large research, teaching, and recreational forest owned and managed by Duke University in the Durham, North Carolina area.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe31cec8190a1007414148b8abe completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.