Triple

T6192053
Position Surface form Disambiguated ID Type / Status
Subject Nador E138412 entity
Predicate hasAirport P105 FINISHED
Object Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
E575199 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: Al Aroui Airport | Statement: [Nador, hasAirport, Al Aroui Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Aroui Airport
Context triple: [Nador, hasAirport, Al Aroui Airport]
  • A. El Nouzha Airport
    El Nouzha Airport is the former main international airport serving Alexandria, Egypt, located to the east of the city.
  • B. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • C. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • D. Taif Regional Airport
    Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
  • E. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • 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: Al Aroui Airport
Triple: [Nador, hasAirport, Al Aroui Airport]
Generated description
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Aroui Airport
Target entity description: Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
  • A. El Nouzha Airport
    El Nouzha Airport is the former main international airport serving Alexandria, Egypt, located to the east of the city.
  • B. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • C. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • D. Taif Regional Airport
    Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
  • E. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06241977c81909ab8486f5aa30be0 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1403888190b558a43998fa5d05 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e2a4ec088190bf7a7359a9f86645 completed March 24, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_69c1e3323f788190a8cc4c870fef1d2b completed March 24, 2026, 1:04 a.m.
Created at: March 22, 2026, 4:19 p.m.