Triple

T18887367
Position Surface form Disambiguated ID Type / Status
Subject High Atlas E461990 entity
Predicate contains P35 FINISHED
Object Ourika Valley 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: Ourika Valley | Statement: [High Atlas, contains, Ourika Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ourika Valley
Context triple: [High Atlas, contains, Ourika Valley]
  • A. Ourika Valley chosen
    Ourika Valley is a scenic river valley in the Atlas Mountains of Morocco, known for its traditional Berber villages, waterfalls, and popular day trips from Marrakech.
  • B. Usho Valley
    Usho Valley is a scenic alpine valley in Pakistan’s Swat region, known for its lush forests, rivers, and proximity to popular tourist spots like Mahodand Lake.
  • C. Yahagi Valley
    Yahagi Valley is a scenic river valley in Japan known for its natural landscapes shaped by the Yahagi River, offering outdoor recreation and picturesque views.
  • D. Wama Valley
    Wama Valley is a remote valley in eastern Afghanistan known as one of the primary homelands of the Nuristani-speaking Ashkun people.
  • E. Anai Valley
    Anai Valley is a scenic natural valley in West Sumatra, Indonesia, known for its lush rainforest, waterfalls, and mountainous landscapes.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4777434819098850da0ee1c6b43 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.