Triple

T9804154
Position Surface form Disambiguated ID Type / Status
Subject Libyan airport network E237911 entity
Predicate hasComponent P35 FINISHED
Object Sabha Airport E46555 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: Sabha Airport | Statement: [Libyan airport network, hasComponent, Sabha Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabha Airport
Context triple: [Libyan airport network, hasComponent, Sabha Airport]
  • A. Sabha Airport chosen
    Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
  • B. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • C. Dhusamareb Airport
    Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
  • D. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • E. Ulei Airport
    Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7a0ce881908f0555d194dece3f completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc57119881909616d835def02fc9 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.