Triple

T19687573
Position Surface form Disambiguated ID Type / Status
Subject Central Morocco E472751 entity
Predicate containsCity P294 FINISHED
Object Khenifra 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: Khenifra city | Statement: [Central Morocco, containsCity, Khenifra city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khenifra city
Context triple: [Central Morocco, containsCity, Khenifra city]
  • A. Khenifra chosen
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
  • B. El Kef
    El Kef is a historic city in northwestern Tunisia known for its hilltop medina, Ottoman-era fortifications, and views over the surrounding mountains.
  • 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. Aïn Bessem
    Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420d39688190ad3a84dbffce4ffe completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.