Triple

T23454534
Position Surface form Disambiguated ID Type / Status
Subject Sousse Governorate E567881 entity
Predicate contains P35 FINISHED
Object Akouda
Akouda is a coastal town in eastern Tunisia known for its proximity to the resort city of Sousse and its role in the region’s tourism and agriculture.
 E1585955 NE FINISHED

How this triple was built (4 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: Akouda | Statement: [Sousse Governorate, contains, Akouda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akouda
Context triple: [Sousse Governorate, contains, Akouda]
  • A. Ekoi
    Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
  • B. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • C. Cygnet
    Cygnet is a small rural town in southern Tasmania, Australia, known for its scenic Huon Valley setting, apple-growing heritage, and vibrant arts and folk music scene.
  • D. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • E. Eichet
    Eichet is a locality that forms part of the municipality of Grödig in the Austrian state of Salzburg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akouda
Triple: [Sousse Governorate, contains, Akouda]
Generated description
Akouda is a coastal town in eastern Tunisia known for its proximity to the resort city of Sousse and its role in the region’s tourism and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akouda
Target entity description: Akouda is a coastal town in eastern Tunisia known for its proximity to the resort city of Sousse and its role in the region’s tourism and agriculture.
  • A. Ekoi
    Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
  • B. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • C. Cygnet
    Cygnet is a small rural town in southern Tasmania, Australia, known for its scenic Huon Valley setting, apple-growing heritage, and vibrant arts and folk music scene.
  • D. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • E. Eichet
    Eichet is a locality that forms part of the municipality of Grödig in the Austrian state of Salzburg.
  • F. None of above. chosen

Provenance (5 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67c0c2d081909da467271800b69d completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76bcf3f08190ae28b928b18cd007 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:53 p.m.