Triple

T17590440
Position Surface form Disambiguated ID Type / Status
Subject البيضاء E428431 entity
Predicate hasAirport P105 FINISHED
Object مطار الأبرق الدولي NE NERFINISHED

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: مطار الأبرق الدولي | Statement: [البيضاء, hasAirport, مطار الأبرق الدولي]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مطار الأبرق الدولي
Context triple: [البيضاء, hasAirport, مطار الأبرق الدولي]
  • A. Sheikh ul-Alam International Airport
    Sheikh ul-Alam International Airport is the main airport serving Srinagar in the Kashmir Valley, providing domestic and limited international air connectivity to the region.
  • B. Al Aroui Airport
    Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
  • C. Sania Ramel Airport
    Sania Ramel Airport is a regional airport serving the city of Tétouan in northern Morocco, providing domestic and limited international flights.
  • D. El Nouzha Airport
    El Nouzha Airport is the former main international airport serving Alexandria, Egypt, located to the east of the city.
  • E. Al Abraq International Airport chosen
    Al Abraq International Airport is a public airport in eastern Libya that serves the city of Bayda and surrounding regions with domestic and limited international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e6e3888190b73a5b6d7e8c0a55 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.