Triple

T15852619
Position Surface form Disambiguated ID Type / Status
Subject Sudanese Air Force E384376 entity
Predicate garrison P75 FINISHED
Object Khartoum International Airport E40523 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: Khartoum International Airport | Statement: [Sudanese Air Force, garrison, Khartoum International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khartoum International Airport
Context triple: [Sudanese Air Force, garrison, Khartoum International Airport]
  • A. Khartoum International Airport chosen
    Khartoum International Airport is the main international gateway and busiest airport serving Sudan’s capital city, Khartoum.
  • B. Juba International Airport
    Juba International Airport is the main international airport serving Juba, the capital city of South Sudan, and acts as a key hub for the country's air travel and humanitarian operations.
  • C. El-Obeid Airport
    El-Obeid Airport is a public airport serving the city of El-Obeid and the surrounding region in central Sudan.
  • D. La Nubia Airport
    La Nubia Airport is a small regional airport serving the city of Manizales in Colombia’s coffee-growing region.
  • E. Aswan International Airport
    Aswan International Airport is a regional airport in southern Egypt that serves the city of Aswan and nearby tourist destinations along the Nile.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caddd2c8190859b2926b0e1ad35 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.