Triple

T15526793
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv Airport E369103 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: [Tel Aviv Airport, replacedBy, Ramon Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramon Airport
Context triple: [Tel Aviv 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. El Caraño Airport
    El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
  • D. 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.
  • E. 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.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0319f248190a37c9afa09c32428 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:05 a.m.