Triple

T7959245
Position Surface form Disambiguated ID Type / Status
Subject Dodowa E184819 entity
Predicate hasTouristAttraction P530 FINISHED
Object Dodowa Forest E704043 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: Dodowa Forest | Statement: [Dodowa, hasTouristAttraction, Dodowa Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodowa Forest
Context triple: [Dodowa, hasTouristAttraction, Dodowa Forest]
  • A. Dodowa Forest chosen
    Dodowa Forest is a historic woodland area in Ghana noted for its rich biodiversity and cultural significance, including sites linked to the 1826 Katamanso war.
  • B. Ushu Forest
    Ushu Forest is a scenic alpine woodland near Kalam in Pakistan’s Swat Valley, known for its dense conifer trees, riverside landscapes, and popularity as a nature and picnic spot.
  • C. Sauvabelin Forest
    Sauvabelin Forest is a wooded natural area in Lausanne, Switzerland, known for its walking trails, wildlife, and views over the city and Lake Geneva.
  • D. Karura Forest
    Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
  • E. Karantere Forest
    Karantere Forest is a mountainous, densely wooded natural area in the Drama region of northeastern Greece, known for its rich biodiversity and pristine landscapes.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b80050c81909b2db95ade495052 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566604e881908792c7155a370e4c completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:11 p.m.