Triple

T6729585
Position Surface form Disambiguated ID Type / Status
Subject Parco del Litorale Romano E153599 entity
Predicate nearbyCity P350 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: [Parco del Litorale Romano, nearbyCity, Fiumicino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiumicino
Context triple: [Parco del Litorale Romano, nearbyCity, 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742444c3081908121fb01c93551f0 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:09 p.m.