Triple

T16383783
Position Surface form Disambiguated ID Type / Status
Subject Eastern Tunisia E397871 entity
Predicate hasPortCity P2745 FINISHED
Object Sfax E131851 NE FINISHED

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 | Statement: [Eastern Tunisia, hasPortCity, Sfax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sfax
Context triple: [Eastern Tunisia, hasPortCity, Sfax]
  • A. Sfax chosen
    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.
  • B. 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.
  • C. Sousse
    Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
  • D. Manouba
    Manouba is a city in northern Tunisia that serves as an administrative and educational hub on the outskirts of the capital, Tunis.
  • E. Kairouan
    Kairouan is an ancient Islamic city in central Tunisia renowned for its historic mosques, traditional architecture, and status as a major center of early Muslim scholarship and pilgrimage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319de83248190b5d43646fa9b6cda completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec5c99c819082f154267c246e92 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:08 a.m.