Triple

T19016685
Position Surface form Disambiguated ID Type / Status
Subject Jendouba Governorate E465368 entity
Predicate hasTown P847 FINISHED
Object Ghardimaou 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: Ghardimaou | Statement: [Jendouba Governorate, hasTown, Ghardimaou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghardimaou
Context triple: [Jendouba Governorate, hasTown, Ghardimaou]
  • A. Ghardimaou chosen
    Ghardimaou is a town in northwestern Tunisia near the Algerian border, known as a regional transport and agricultural center.
  • B. Sidi Ghiles
    Sidi Ghiles is a coastal town and commune in northern Algeria, situated along the Mediterranean Sea in the Tipaza region.
  • C. Sidi Alouane
    Sidi Alouane is a town in eastern Tunisia situated within the coastal Mahdia Governorate.
  • D. Bouzeguene
    Bouzeguene is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
  • E. Aïn Draham
    Aïn Draham is a mountainous town in northwestern Tunisia known for its dense cork oak forests, cool rainy climate, and role as a popular nature and ecotourism destination.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.