Triple

T19932359
Position Surface form Disambiguated ID Type / Status
Subject CLA Studios E479085 entity
Predicate near P350 FINISHED
Object Ouarzazate city 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: Ouarzazate city | Statement: [CLA Studios, near, Ouarzazate city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouarzazate city
Context triple: [CLA Studios, near, Ouarzazate city]
  • A. Ouarzazate chosen
    Ouarzazate is a city in south-central Morocco known as a gateway to the Sahara Desert and a major hub for film production and desert tourism.
  • B. Tiznit
    Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
  • C. Ghadamis
    Ghadamis is an ancient oasis town in western Libya, renowned for its well-preserved traditional mud-brick architecture and status as a UNESCO World Heritage Site.
  • D. Souk Ahras
    Souk Ahras is a city in northeastern Algeria known as the modern site of ancient Thagaste, birthplace of Saint Augustine.
  • E. Cherchell
    Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the region.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a14a2348190b41f8e320fe661d6 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.