Triple

T5796936
Position Surface form Disambiguated ID Type / Status
Subject al-Mansuriya E128530 entity
Predicate locatedNear P294 FINISHED
Object Kairouan E23803 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: Kairouan | Statement: [al-Mansuriya, locatedNear, Kairouan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kairouan
Context triple: [al-Mansuriya, locatedNear, Kairouan]
  • A. Kairouan chosen
    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.
  • 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. 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.
  • D. Kairouan Governorate
    Kairouan Governorate is an administrative region in central Tunisia centered around the historic city of Kairouan, a major Islamic cultural and religious site.
  • E. Medina of Tunis
    The Medina of Tunis is the historic walled old town of Tunisia’s capital, renowned for its maze-like streets, traditional souks, and rich Islamic architectural heritage.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a945fe0819095e62d480c84a2b5 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0d71b7881909108c7347ce91317 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:51 p.m.