Triple

T17738449
Position Surface form Disambiguated ID Type / Status
Subject Zaghouan Governorate E442786 entity
Predicate hasCity P316 FINISHED
Object Zaghouan 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: Zaghouan | Statement: [Zaghouan Governorate, hasCity, Zaghouan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaghouan
Context triple: [Zaghouan Governorate, hasCity, Zaghouan]
  • A. Manouba
    Manouba is a city in northern Tunisia that serves as an administrative and educational hub on the outskirts of the capital, Tunis.
  • B. Zaghouan Governorate chosen
    Zaghouan Governorate is an inland administrative region in northeastern Tunisia known for its historic Roman water temple and mountainous landscapes.
  • 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. Nouaceur
    Nouaceur is a town and municipality in the Casablanca-Settat region of Morocco, known for hosting Mohammed V International Airport.
  • E. Biskra
    Biskra is a city in northeastern Algeria known as a gateway to the Sahara and for its date palm oases and warm winter climate.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47aca27448190943c75e723ceefcc completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.