Triple

T19083771
Position Surface form Disambiguated ID Type / Status
Subject Youssoufia Province E467092 entity
Predicate capital P234 FINISHED
Object Youssoufia 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: Youssoufia | Statement: [Youssoufia Province, capital, Youssoufia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youssoufia
Context triple: [Youssoufia Province, capital, Youssoufia]
  • A. Youssoufia chosen
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • B. Kalfou
    Kalfou is a powerful and feared Haitian Vodou spirit associated with the crossroads, chaos, and the control of spiritual pathways.
  • C. Bechloul
    Bechloul is a town and commune located in northern Algeria within the Bouira Province.
  • D. Nafoua
    Nafoua is a small settlement located on the remote Polynesian outlier island of Sikaiana in the Solomon Islands.
  • E. Soussa
    Soussa is an alternative name for Sousse, a major historic port city on Tunisia’s eastern Mediterranean coast known for its medina and tourism.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34600f88190bd96bcc2c5c08d14 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.