Triple

T11463327
Position Surface form Disambiguated ID Type / Status
Subject Ovda Airport E271714 entity
Predicate replacedBy P101 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: [Ovda Airport, replacedBy, Ramon Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramon Airport
Context triple: [Ovda Airport, replacedBy, 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:35 p.m.