Triple

T23112625
Position Surface form Disambiguated ID Type / Status
Subject Northern State E576360 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object Merowe Airport 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: Merowe Airport | Statement: [Northern State, hasTransportInfrastructure, Merowe Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merowe Airport
Context triple: [Northern State, hasTransportInfrastructure, Merowe Airport]
  • A. Merowe Airport chosen
    Merowe Airport is a regional airport in northern Sudan that serves the town of Karima and the surrounding area near the Nile.
  • B. Kufra Airport
    Kufra Airport is a public airport serving the remote town of Al Kufrah in southeastern Libya, providing vital regional and domestic air connectivity.
  • C. Abu Simbel Airport
    Abu Simbel Airport is a small regional airport in southern Egypt that serves tourists visiting the nearby Abu Simbel temples and surrounding area.
  • D. La Nubia Airport
    La Nubia Airport is a small regional airport serving the city of Manizales in Colombia’s coffee-growing region.
  • E. Mehamn Airport
    Mehamn Airport is a regional airport in northern Norway serving the village of Mehamn and surrounding communities in Finnmark.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.