Triple

T5957346
Position Surface form Disambiguated ID Type / Status
Subject Aeroporto di Roma–Fiumicino E132549 entity
Predicate locatedIn P40 FINISHED
Object Fiumicino E124979 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: Fiumicino | Statement: [Aeroporto di Roma–Fiumicino, locatedIn, Fiumicino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiumicino
Context triple: [Aeroporto di Roma–Fiumicino, locatedIn, Fiumicino]
  • A. Fiumicino chosen
    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.
  • B. Rome Ciampino Airport
    Rome Ciampino Airport is a smaller international airport serving Rome, Italy, primarily used by low-cost carriers and charter flights.
  • 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. Leonardo da Vinci–Fiumicino Airport
    Leonardo da Vinci–Fiumicino Airport is Italy’s largest and busiest international airport, serving as the primary air gateway to Rome and a major hub for global travel.
  • E. 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.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c34ca881909a219eddf99348ab completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12505bb8c8190a2f509e9615d0dcd completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:02 p.m.