Triple

T17107666
Position Surface form Disambiguated ID Type / Status
Subject باي تونس E415142 entity
Predicate يخص P43059 FINISHED
Object تونس 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: تونس | Statement: [باي تونس, يخص, تونس]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: تونس
Context triple: [باي تونس, يخص, تونس]
  • A. Tunis chosen
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • B. Sfax
    Sfax is a major port city on Tunisia’s eastern coast, known as an economic hub and a significant center of political activism during the Tunisian Revolution.
  • C. Tunis Governorate
    Tunis Governorate is an administrative region in northeastern Tunisia that encompasses the nation’s capital city, Tunis, and serves as its political and economic center.
  • D. Mahdia
    Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
  • E. Sidi Bouzid
    Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc280b0c8190b9e620b90e0d4b40 completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.