Triple

T22531091
Position Surface form Disambiguated ID Type / Status
Subject University of Sfax E557036 entity
Predicate state P87 FINISHED
Object Sfax Governorate 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: Sfax Governorate | Statement: [University of Sfax, state, Sfax Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sfax Governorate
Context triple: [University of Sfax, state, Sfax Governorate]
  • A. Sfax Governorate chosen
    Sfax Governorate is an administrative region in east-central Tunisia centered on the coastal city of Sfax, known for its important commercial port and industrial activities.
  • B. Nabeul Governorate
    Nabeul Governorate is a coastal administrative region in northeastern Tunisia known for its Mediterranean resorts, ancient archaeological sites, and traditional pottery.
  • C. Sousse Governorate
    Sousse Governorate is an administrative region on Tunisia’s eastern coast that includes the historic city and tourist hub of Sousse.
  • D. Tataouine Governorate
    Tataouine Governorate is a large, sparsely populated region in southern Tunisia known for its desert landscapes and traditional Berber villages.
  • E. Mahdia Governorate
    Mahdia Governorate is a coastal administrative region in eastern Tunisia known for its historic cities, Mediterranean shoreline, and agricultural production.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed6734881908abbbee477dfab98 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.