Triple

T2161138
Position Surface form Disambiguated ID Type / Status
Subject Agadir E46802 entity
Predicate hasNearbyTown P3883 FINISHED
Object Inezgane
Inezgane is a town in southwestern Morocco known as a major transport hub and commercial center just inland from the coastal city of Agadir.
 E239429 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: Inezgane | Statement: [Agadir, hasNearbyTown, Inezgane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inezgane
Context triple: [Agadir, hasNearbyTown, Inezgane]
  • A. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • B. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • C. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • D. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • E. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • 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: Inezgane
Triple: [Agadir, hasNearbyTown, Inezgane]
Generated description
Inezgane is a town in southwestern Morocco known as a major transport hub and commercial center just inland from the coastal city of Agadir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inezgane
Target entity description: Inezgane is a town in southwestern Morocco known as a major transport hub and commercial center just inland from the coastal city of Agadir.
  • A. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • B. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • C. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • D. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • E. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe89e6ac8190b4b4bc0be4fe7aa9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ec0a7481909bc3e751de31e4d7 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59c3e0008190942715e0c44ca206 completed March 9, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a446350819080cdacd9a98f8de2 completed March 9, 2026, 5:27 a.m.
Created at: March 4, 2026, 7:45 p.m.