Triple

T9365860
Position Surface form Disambiguated ID Type / Status
Subject Al Hoceima E225396 entity
Predicate hasAirport P105 FINISHED
Object Cherif Al Idrissi Airport
Cherif Al Idrissi Airport is a regional airport serving the city of Al Hoceima and the surrounding Rif region in northern Morocco.
E795332 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: Cherif Al Idrissi Airport | Statement: [Al Hoceima, hasAirport, Cherif Al Idrissi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherif Al Idrissi Airport
Context triple: [Al Hoceima, hasAirport, Cherif Al Idrissi Airport]
  • A. Hassan I Airport
    Hassan I Airport is the main public airport serving the city of Laayoune in Western Sahara, handling both domestic and limited international flights.
  • B. Oran Ahmed Ben Bella Airport
    Oran Ahmed Ben Bella Airport is the main international airport serving the city of Oran in northwestern Algeria.
  • C. Fez–Saïss Airport
    Fez–Saïss Airport is an international airport serving the city of Fez and the surrounding Fès-Meknès region in Morocco.
  • D. Beni Mellal Airport
    Beni Mellal Airport is a regional public airport serving the city of Beni Mellal and its surrounding area in central Morocco.
  • E. Rabat–Salé Airport
    Rabat–Salé Airport is the main international airport serving Morocco’s capital region, handling both civilian and military air traffic.
  • 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: Cherif Al Idrissi Airport
Triple: [Al Hoceima, hasAirport, Cherif Al Idrissi Airport]
Generated description
Cherif Al Idrissi Airport is a regional airport serving the city of Al Hoceima and the surrounding Rif region in northern Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cherif Al Idrissi Airport
Target entity description: Cherif Al Idrissi Airport is a regional airport serving the city of Al Hoceima and the surrounding Rif region in northern Morocco.
  • A. Hassan I Airport
    Hassan I Airport is the main public airport serving the city of Laayoune in Western Sahara, handling both domestic and limited international flights.
  • B. Oran Ahmed Ben Bella Airport
    Oran Ahmed Ben Bella Airport is the main international airport serving the city of Oran in northwestern Algeria.
  • C. Fez–Saïss Airport
    Fez–Saïss Airport is an international airport serving the city of Fez and the surrounding Fès-Meknès region in Morocco.
  • D. Beni Mellal Airport
    Beni Mellal Airport is a regional public airport serving the city of Beni Mellal and its surrounding area in central Morocco.
  • E. Rabat–Salé Airport
    Rabat–Salé Airport is the main international airport serving Morocco’s capital region, handling both civilian and military air traffic.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f51f8ae88190a15d2e521449c8b5 completed April 4, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5d543a48190b9f25d4316664f04 completed April 4, 2026, 11:28 a.m.
Created at: March 30, 2026, 7:43 p.m.