Triple

T19687572
Position Surface form Disambiguated ID Type / Status
Subject Central Morocco E472751 entity
Predicate containsCity P294 FINISHED
Object Khenifra 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 | Statement: [Central Morocco, containsCity, Khenifra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khenifra
Context triple: [Central Morocco, containsCity, Khenifra]
  • A. Khenifra chosen
    Khenifra is a Moroccan city situated in the Middle Atlas region, known for its Berber culture and surrounding mountainous landscapes.
  • B. Sidi Belyout
    Sidi Belyout is a central urban district of Casablanca, Morocco, known for encompassing much of the city’s historic and administrative core.
  • C. Sefrou
    Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
  • D. Sidi Kacem
    Sidi Kacem is a town in northwestern Morocco known as an agricultural and transport hub within the Rabat-Salé-Kénitra region.
  • E. Sidi Bel Abbès
    Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
  • 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.