Triple

T11501281
Position Surface form Disambiguated ID Type / Status
Subject Arkia Israeli Airlines E272668 entity
Predicate operatesFrom P6602 FINISHED
Object Ramon Airport E281524 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: Ramon Airport | Statement: [Arkia Israeli Airlines, operatesFrom, Ramon Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramon Airport
Context triple: [Arkia Israeli Airlines, operatesFrom, Ramon Airport]
  • A. Ramon Airport chosen
    Ramon Airport is an international airport in southern Israel serving as a major gateway to the Negev desert and the resort city of Eilat.
  • B. Reales Tamarindos Airport
    Reales Tamarindos Airport is a public airport serving the city of Portoviejo in the Manabí Province of Ecuador.
  • C. Francisco Bangoy International Airport
    Francisco Bangoy International Airport is the main commercial airport serving Davao City and the surrounding Davao Region in the southern Philippines.
  • D. Vilo Acuña Airport
    Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
  • E. Balbuena Military Airport
    Balbuena Military Airport was the earlier military airfield in Mexico City that evolved into today’s Mexico City International Airport.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef822a90e48190874a87bd9a634685 completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:36 p.m.