Triple

T17577240
Position Surface form Disambiguated ID Type / Status
Subject Joumine E428102 entity
Predicate governorateCapital P34211 FINISHED
Object Bizerte 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: Bizerte | Statement: [Joumine, governorateCapital, Bizerte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bizerte
Context triple: [Joumine, governorateCapital, Bizerte]
  • A. city of Bizerte chosen
    The city of Bizerte is a major coastal city and port in northern Tunisia, situated on the Mediterranean Sea and known for its strategic naval base and historic medina.
  • B. 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.
  • C. Gafsa
    Gafsa is a historic oasis city in central Tunisia known for its ancient Roman and pre-Roman heritage and its role as a regional economic and administrative center.
  • D. Aït Bouzid
    Aït Bouzid is a town located in the mountainous Kabylie region of northern Algeria, within Tizi Ouzou Province.
  • E. Bizerte port
    Bizerte port is a major Tunisian Mediterranean seaport known for its strategic location, commercial shipping activities, and naval facilities.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ca76848190a7beb6deb4b0f1a4 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.