Triple

T11993920
Position Surface form Disambiguated ID Type / Status
Subject Moroccan Sahara E285479 entity
Predicate hasCity P316 FINISHED
Object Dakhla E349792 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: Dakhla | Statement: [Moroccan Sahara, hasCity, Dakhla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakhla
Context triple: [Moroccan Sahara, hasCity, Dakhla]
  • A. Dakhla chosen
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • B. Témara
    Témara is a coastal city in northwestern Morocco, situated just south of the capital Rabat and known as a growing residential and industrial suburb in the Rabat metropolitan area.
  • C. Settat
    Settat is a city in western Morocco located between Casablanca and Marrakech, known as a regional agricultural and commercial center.
  • D. Mohammedia
    Mohammedia is a coastal city in western Morocco, situated between Casablanca and Rabat, known for its port, beaches, and industrial activities.
  • E. Taroudant
    Taroudant is a historic walled city in southern Morocco, often called the "Grandmother of Marrakech" for its similar architecture and traditional markets.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.