Triple

T13064562
Position Surface form Disambiguated ID Type / Status
Subject Rabat E329285 entity
Predicate hasAirport P105 FINISHED
Object Rabat–Salé Airport E51504 NE FINISHED

How this triple was built (2 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: Rabat–Salé Airport | Statement: [Rabat, hasAirport, Rabat–Salé Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabat–Salé Airport
Context triple: [Rabat, hasAirport, Rabat–Salé Airport]
  • A. Rabat–Salé Airport chosen
    Rabat–Salé Airport is the main international airport serving Morocco’s capital region, handling both civilian and military air traffic.
  • B. Mohammed V International Airport
    Mohammed V International Airport is the primary international gateway to Casablanca and one of Morocco’s busiest and most important airports.
  • C. Beni Mellal Airport
    Beni Mellal Airport is a regional public airport serving the city of Beni Mellal and its surrounding area in central Morocco.
  • D. 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.
  • E. Agadir–Al Massira Airport
    Agadir–Al Massira Airport is the main international airport serving the coastal city of Agadir in southwestern Morocco, handling both tourist and domestic air traffic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b98a7c48190a2ca0ec7b9bd8d19 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 8:59 p.m.