Triple

T17093794
Position Surface form Disambiguated ID Type / Status
Subject Ain Diab beach E414788 entity
Predicate locatedInDistrict P40 FINISHED
Object Ain Diab
Ain Diab is a coastal district of Casablanca, Morocco, known for its popular Atlantic beaches, nightlife, and seaside promenades.
E1249873 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: Ain Diab | Statement: [Ain Diab beach, locatedInDistrict, Ain Diab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ain Diab
Context triple: [Ain Diab beach, locatedInDistrict, Ain Diab]
  • A. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • B. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • C. Maïssade
    Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
  • D. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • E. Sbeitla
    Sbeitla is an ancient Roman archaeological site and modern town in central Tunisia, noted for its well-preserved temples and forum.
  • 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: Ain Diab
Triple: [Ain Diab beach, locatedInDistrict, Ain Diab]
Generated description
Ain Diab is a coastal district of Casablanca, Morocco, known for its popular Atlantic beaches, nightlife, and seaside promenades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ain Diab
Target entity description: Ain Diab is a coastal district of Casablanca, Morocco, known for its popular Atlantic beaches, nightlife, and seaside promenades.
  • A. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • B. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • C. Maïssade
    Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
  • D. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • E. Sbeitla
    Sbeitla is an ancient Roman archaeological site and modern town in central Tunisia, noted for its well-preserved temples and forum.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012f7f8b148190914b0d7cfb2d5c5c completed May 11, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a012ffb67d4819099ec8d668cb590c9 completed May 11, 2026, 1:25 a.m.
Created at: April 10, 2026, 5:35 a.m.