Triple

T1305515
Position Surface form Disambiguated ID Type / Status
Subject RYR E27866 entity
Predicate associatedAirlineHub P4364 FINISHED
Object Rome Ciampino Airport E149588 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: Rome Ciampino Airport | Statement: [RYR, associatedAirlineHub, Rome Ciampino Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome Ciampino Airport
Context triple: [RYR, associatedAirlineHub, Rome Ciampino Airport]
  • A. Rome Ciampino Airport chosen
    Rome Ciampino Airport is a smaller international airport serving Rome, Italy, primarily used by low-cost carriers and charter flights.
  • B. Fiumicino
    Fiumicino is a coastal town and comune near Rome in central Italy, best known for hosting Rome’s main international airport, Leonardo da Vinci–Fiumicino Airport.
  • C. Aeroporto di Roma–Fiumicino
    Aeroporto di Roma–Fiumicino is the main international airport serving Rome, Italy, and one of the busiest air hubs in Europe.
  • D. Aeroporti di Roma
    Aeroporti di Roma is the company responsible for managing and operating Rome’s main airports, including the city’s largest international hub.
  • E. Milan Linate Airport
    Milan Linate Airport is a major city airport serving Milan, Italy, primarily handling domestic and short-haul European flights close to the city center.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc622dac88190b6ecdc62c7f26dc5 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:51 p.m.