Triple

T19687574
Position Surface form Disambiguated ID Type / Status
Subject Central Morocco E472751 entity
Predicate containsCity P294 FINISHED
Object Khenifra town 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 town | Statement: [Central Morocco, containsCity, Khenifra town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khenifra town
Context triple: [Central Morocco, containsCity, Khenifra town]
  • A. Khenifra chosen
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
  • B. Aïn Bessem
    Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
  • C. Sidi Bou Zid
    Sidi Bou Zid is a town in central Tunisia known both as an agricultural center and as the site of a significant World War II battle.
  • D. 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.
  • E. Aït Melloul
    Aït Melloul is a town in southwestern Morocco that forms part of the greater Agadir metropolitan area and serves as an important local commercial and residential hub.
  • 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.