Triple

T17655738
Position Surface form Disambiguated ID Type / Status
Subject Northern Tunisia E429616 entity
Predicate hasMajorCity P316 FINISHED
Object Jendouba 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: Jendouba | Statement: [Northern Tunisia, hasMajorCity, Jendouba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jendouba
Context triple: [Northern Tunisia, hasMajorCity, Jendouba]
  • A. Jendouba chosen
    Jendouba is a city in northwestern Tunisia known as an important regional center for agriculture and trade.
  • 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. Tahannaout
    Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
  • D. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • E. Sidi Bennour
    Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e40e344819086a49c69f8f2956b completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.